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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Polit. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Political Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Polit. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-3145</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpos.2026.1744381</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Political market entropy in Rome. An analysis of different electoral cycles (1993&#x2013;2023)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fiorelli</surname>
<given-names>Chiara</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2876642"/>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lomonaco</surname>
<given-names>Francesco</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2178729"/>
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<aff id="aff1"><label>1</label><institution>Department of Political Sciences, Sapienza University of Rome</institution>, <city>Rome</city>, <country country="it">Italy</country></aff>
<aff id="aff2"><label>2</label><institution>Independent Researcher</institution>, <city>Rome</city>, <country country="it">Italy</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Chiara Fiorelli, <email xlink:href="mailto:chiara.fiorelli@uniroma1.it">chiara.fiorelli@uniroma1.it</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-12">
<day>12</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>8</volume>
<elocation-id>1744381</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Fiorelli and Lomonaco.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Fiorelli and Lomonaco</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>This paper explores the dynamics of political market entropy in Rome between 1993 and 2023, analyzing 29 electoral cycles across local, regional, national, and European levels. Using Shannon&#x2019;s entropy as an indicator of systemic uncertainty, the study examines how the fragmentation of the political offer interacts with voter participation and abstention. Building on previous systemic approaches and the behavioral insights in the scientific literature of social sciences, entropy is treated both as a dependent and an independent variable&#x2014;a product of political fragmentation and a driver of voter disaffection. The findings reveal a gradual increase in entropy over three decades, punctuated by cyclical oscillations consistent with self-regulating dynamics in the political system. The results suggest that the Roman political market behaves as a complex adaptive system, oscillating between periods of dispersion and re-consolidation, pluralism and stability. This entropic interpretation offers a novel framework for understanding how contemporary democracies process uncertainty and adapt to changing patterns of competition and participation.</p>
</abstract>
<kwd-group>
<kwd>political entropy</kwd>
<kwd>political market</kwd>
<kwd>Rome</kwd>
<kwd>voter behavior</kwd>
<kwd>abstention</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Elections and Representation</meta-value>
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</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Over the past three decades, the <italic>Roman political market</italic> has provided a compelling lens through which to observe the dynamics of democratic transformation in Italy&#x2019;s capital&#x2014;a city characterized by electoral volatility, rising abstention, and the progressive fragmentation of party competition.</p>
<p>As both the political and symbolic center of the country, Rome encapsulates the structural tensions of Italian democracy: the erosion of traditional party loyalties, the proliferation of civic and populist movements, and the reconfiguration of voter behavior in a context of growing informational complexity.</p>
<p>Following the market metaphor long established in political science (<xref ref-type="bibr" rid="ref11">Downs, 1957</xref>; <xref ref-type="bibr" rid="ref9001">Wolinetz, 1979</xref>; <xref ref-type="bibr" rid="ref22">Sartori, 1976</xref>; <xref ref-type="bibr" rid="ref18">Mair, 1997</xref>), the political field can be understood as a competitive marketplace of ideas and representation. Parties and candidates behave as adaptive organizations seeking to maximize support, while voters act as rational consumers who evaluate the available &#x201C;products&#x201D; based on ideological distance, perceived benefits, and cognitive costs.</p>
<p>When the informational or psychological costs of participation outweigh perceived benefits, abstention becomes a rational form of <italic>exit</italic> from the political market (<xref ref-type="bibr" rid="ref15">Hirschman, 1970</xref>).</p>
<p>In this framework, electoral behavior is dynamic rather than static&#x2014;driven by how citizens process political information and interpret signals in an increasingly diversified and fluid environment.</p>
<p>This process of voter transformation has been described by <xref ref-type="bibr" rid="ref20">Norris (2002)</xref> and <xref ref-type="bibr" rid="ref10">Dalton (2018)</xref> as the rise of cognitive mobilization and partisan dealignment. Voters have become more informed, autonomous, and capable of independent judgment, yet simultaneously less anchored to traditional ideological or partisan identities. As citizens gain access to more information and perceive greater choice, they rely less on stable cues and more on situational evaluations. The result is a form of electoral complexity in which individual rationality coexists with systemic unpredictability&#x2014;an ideal context for analyzing political entropy.</p>
<p>To conceptualize this complexity, the present study employs the notion of entropy, a concept originally derived from thermodynamics and adapted by <xref ref-type="bibr" rid="ref23">Shannon (1948)</xref> in information theory. Entropy measures the degree of uncertainty or dispersion within a system: when votes are evenly distributed among many actors, entropy rises, reflecting fragmentation and uncertainty; when votes concentrate around fewer parties, entropy declines, signaling order and predictability.</p>
<p>In political systems, as shown by <xref ref-type="bibr" rid="ref24">V&#x00E4;yrynen (1972)</xref> and <xref ref-type="bibr" rid="ref7">Coleman (1995)</xref>, entropy captures the underlying informational coherence of the political market&#x2014;how citizens distribute their support across an expanding or contracting array of options.</p>
<p>The Roman case offers an ideal empirical laboratory for applying this framework. Between 1993 and 2023, Rome experienced 29 electoral cycles across four levels&#x2014;local, regional, national, and European&#x2014;involving over 2.3 million voters per cycle and more than 500 competing lists. This sequence allows for a longitudinal and multi-level analysis of how entropy evolves as a function of both political supply and voter behavior. The study draws on <xref ref-type="bibr" rid="ref5">Byeon&#x2019;s (2005)</xref> systemic model of entropy as a balance between adaptability and political support, and on <xref ref-type="bibr" rid="ref12">Ferreira and Dionisio&#x2019;s (2008)</xref> interpretation of entropy as a correlate of voter disaffection and abstention. In this view, entropy embodies both structural and behavioral dimensions of political change: it reflects how the fragmentation of the offer generates uncertainty, and how citizens react by either dispersing or withdrawing their participation.</p>
<p>Ultimately, the goal of this paper is to capture the systemic dynamics of voting behavior in relation to the structure of the political offer. By treating entropy as both an outcome and a driver of political disaffection, the study seeks to illuminate the adaptive rhythms of democratic competition in Rome. Entropy emerges as a synthetic, underutilized measure capable of revealing the informational and behavioral complexity of modern democracies&#x2014;highlighting how political systems oscillate between dispersion and re-stabilization, uncertainty and order, as they continuously adjust to the pressures of pluralism and change.</p>
<p>This paper constitutes a first attempt to approach the political market through a complexity-based perspective. While this perspective provides a useful lens for interpreting electoral dynamics, it also entails inherent limitations, as it relies on an analytical framework that remains relatively underdeveloped and only marginally applied in empirical political research. The study should therefore be regarded as an initial contribution, intended to be refined and extended in future work.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>Entropy in the political market: theoretical framework</title>
<sec id="sec3">
<label>2.1</label>
<title>Entropy as a measure of political dispersion and systemic uncertainty</title>
<p>The application of entropy in political science originates from its use in statistical mechanics and information theory. <xref ref-type="bibr" rid="ref23">Shannon&#x2019;s (1948)</xref> mathematical theory of information defined entropy as a measure of uncertainty or disorder in a given system of signals. This notion was later adapted by <xref ref-type="bibr" rid="ref24">V&#x00E4;yrynen (1972)</xref> to the study of political systems, where entropy quantifies the distribution of votes among political parties. In this context, parties can be seen as &#x201C;classes&#x201D; and votes as &#x201C;elements&#x201D; distributed across them. Maximum entropy occurs when all parties receive an equal share of votes, implying a highly fragmented and unpredictable political environment; conversely, low entropy corresponds to concentrated votes and a more stable system.</p>
<p>V&#x00E4;yrynen&#x2019;s approach provided a methodological refinement over earlier measures of political diversity, such as Rae&#x2019;s fractionalization index, which were less sensitive to variations in power relations between parties. Entropy thus captures a richer form of systemic uncertainty, reflecting not only the number of competing actors but also the relative balance of their electoral strength. <xref ref-type="bibr" rid="ref7">Coleman (1995)</xref> expanded this dynamic interpretation, emphasizing that fragmentation in party systems evolves toward a form of equilibrium. Voters and parties tend to adapt to previous cycles, moderating extremes of fragmentation over time. This adaptive behavior mirrors a broader psychological and informational limit&#x2014;citizens can only process a certain degree of political complexity before seeking stability.</p>
<p>In this sense, entropy represents more than a mathematical abstraction. It describes the underlying systemic tension between pluralism and coherence, uncertainty and order, that defines democratic competition. Political entropy can therefore be interpreted as a proxy for how complex and unpredictable the electoral field is, a reflection of both structural and behavioral dimensions of democratic life.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Entropy and systemic dynamics in political systems</title>
<p>From a systemic perspective, entropy provides a way to understand the changing balance between political adaptability and support. <xref ref-type="bibr" rid="ref5">Byeon (2005)</xref> conceptualizes political systems as open systems exposed to environmental stress. When a political system loses adaptability or when the level of spontaneous political support declines, its entropy increases. In other words, entropy can be read as the &#x201C;waste&#x201D; of political energy: a sign of disorder and inefficiency in how the system processes demands, distributes information, and maintains legitimacy. Yet, as Byeon argues, when a system is perturbed and its entropy rises, it tends to self-correct&#x2014;moving back toward a lower-entropy state in order to preserve its integrity. This cyclical dynamic is particularly relevant for interpreting electoral oscillations, where moments of political uncertainty are followed by phases of re-consolidation.</p>
<p>This systemic view resonates with the findings of <xref ref-type="bibr" rid="ref19">Marmani et al. (2020)</xref>, who applied entropic analysis to Italian elections from 1948 to 2018. Treating elections as manifestations of a complex system, they showed that different administrative levels&#x2014;municipal, regional, national, and European&#x2014;display distinct &#x201C;entropic regimes.&#x201D; These regimes reflect varying degrees of political coherence and chaos, often shaped by overlapping or simultaneous elections. Their study reveals how Italian democracy oscillates between order and disorder, suggesting that the electoral process itself is a mechanism for dissipating systemic uncertainty. In this sense, entropy acts both as a descriptor of fragmentation and as an indicator of the system&#x2019;s self-regulating capacity.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Entropy, voter behavior, and political disaffection</title>
<p>The link between entropy and voter behavior lies in how uncertainty and disaffection manifest at the individual level. <xref ref-type="bibr" rid="ref12">Ferreira and Dionisio (2008)</xref> found strong correlations between entropy and voter abstention in post-war European elections, particularly in Italy, where the correlation reached 0.59. They interpret abstention as a form of non-conformity or withdrawal from the political process (see also <xref ref-type="bibr" rid="ref8">Coleman, 2004</xref>). Higher entropy&#x2014;representing greater dispersion of votes&#x2014;tends to coincide with lower confidence in political alternatives and a weaker sense of predictability in electoral outcomes. In contrast, when entropy is low, voters display greater trust and alignment with dominant parties, producing more stable turnout patterns.</p>
<p>This interpretation aligns with psychological and behavioral approaches to political uncertainty. <xref ref-type="bibr" rid="ref21">Ramey et al. (2021)</xref> introduced the concept of <italic>psychological entropy</italic> to explain individual reactions to political risk and novelty. Voters with high levels of openness or disaffection may seek to reduce internal uncertainty by supporting new or outsider candidates. Paradoxically, the emergence of such actors&#x2014;often populist or anti-establishment&#x2014;can temporarily decrease systemic entropy by concentrating support or reactivating previously disengaged voters. Thus, electoral entropy captures not only institutional fragmentation but also the emotional and cognitive dynamics of the electorate.</p>
<p>Overall, entropy serves as a bridge between macro-level systemic complexity and micro-level voter behavior. It translates the diffuse uncertainty of the political environment into measurable outcomes&#x2014;fragmentation, abstention, volatility&#x2014;that reflect the health and adaptability of democratic systems. Understanding these entropic dynamics offers a new way to interpret the cyclical nature of political participation and disengagement, particularly in complex urban contexts such as Rome.</p>
</sec>
</sec>
<sec id="sec6">
<label>3</label>
<title>The causes of electoral abstention in Italy</title>
<p>This section connects the study to the broader political science literature on electoral abstention, showing how traditional explanations of nonvoting&#x2014;from rational choice and representation crises to cultural disaffection&#x2014;can be reframed in entropic terms, as manifestations of systemic dispersion of participatory energy.</p>
<p>In recent decades, political science has devoted increasing attention to the question of voter abstention, treating it not merely as a numerical drop in turnout but as a structural symptom of changing relationships between citizens, institutions, and political culture. Abstention is no longer seen as an episodic deviation from democratic norms but as a long-term expression of transformation in political engagement and trust.</p>
<p>Already in the early 2000s, <xref ref-type="bibr" rid="ref9">Corbetta and Cavazza (2009)</xref> laid the groundwork for this shift, pointing out the <italic>methodological stagnation</italic> of previous studies that focused too narrowly on aggregate data and ignored the individual motivations behind electoral behavior. They argued that declining participation stemmed not from apathy but from a rationalization of electoral choice: nonvoting as a conscious, deliberate act reflecting a weakening bond between citizens and the political system.</p>
<p>From the 2000s onwards, research increasingly interpreted abstention as a rational and strategic decision. <xref ref-type="bibr" rid="ref6">Cerruto (2012)</xref> demonstrated that voters often weigh the personal costs and benefits of participation, choosing to abstain when the perceived <italic>stakes</italic> of an election are low. This approach, aligned with <italic>economic voting</italic> theory, suggests that citizens are more likely to turn out in first-order elections (national contests) than in second-order ones (local, regional, or European), where the perceived impact of their vote is lower.</p>
<p>More recent work has framed abstention within the broader context of political disaffection and representation crises. <xref ref-type="bibr" rid="ref3">Biorcio and Natale (2024)</xref> identify three phases in its evolution: a first, <italic>physiological</italic> stage in the First Republic, when abstention was marginal and often logistical; a second, linked to the breakdown of mass parties and political subcultures in the 1990s; and a third, current stage, in which abstention has become structural and cross-cutting, affecting even politically informed and civically engaged citizens. In this latest phase, not voting is no longer a sign of indifference, but rather a deliberate act of disengagement rooted in disillusionment with how democracy functions.</p>
<p>A complementary perspective comes from <xref ref-type="bibr" rid="ref17">Legnante and Segatti&#x2019;s (2001)</xref> concept of the <italic>intermittent abstainer</italic>, describing voters who alternate between participation and nonparticipation depending on context and motivation. This pattern captures the growing fluidity of electoral behavior: voting has lost its ritual dimension and become a strategic and reversible choice, reflecting a more autonomous yet skeptical electorate.</p>
<p>An institutional approach, advanced by <xref ref-type="bibr" rid="ref14">Fruncillo (2023)</xref>, explores the limited effect of electoral reforms on turnout. Measures such as early, postal, or electronic voting may facilitate access, but they rarely reverse the overall decline in participation. Fruncillo argues that the roots of abstention are primarily cultural rather than technical, linked to the erosion of civic duty and collective trust.</p>
<p>Taken together, this literature suggests that abstention today is not simply a withdrawal from politics but a distinct form of political behavior&#x2014;the outcome of rational calculation, institutional change, and civic disillusionment. It can thus be interpreted as a manifestation of democratic entropy, a diffusion of participatory energy within increasingly fragmented political systems.</p>
</sec>
<sec id="sec7">
<label>4</label>
<title>Electoral laws across the four levels of the Roman system (1993&#x2013;2023)</title>
<p>This paragraph complements the framework of the analysis by outlining the institutional architecture of the Roman political field. Through a systematic overview of the electoral laws governing local, regional, national, and European contests.</p>
<p>The evolution of Italy&#x2019;s electoral systems between 1993 and 2023 has deeply shaped the dynamics of the Roman political market. Across local, regional, national, and European elections, each reform has redefined the rules of competition, the distribution of political power, and ultimately the structure of voter choice&#x2014;contributing to growing fragmentation and uncertainty in the system.</p>
<p>At the local level, the watershed came with <italic>Law 81/1993</italic>, which introduced the direct election of mayors and a two-round majority system, replacing pure proportional representation. This marked the beginning of the personalization of local politics and the rise of a bipolar contest structure. In Rome, its impact was immediate: the 1993 election between Francesco Rutelli and Gianfranco Fini symbolized the start of a new era of media-driven leadership and direct executive accountability. While this reform strengthened visibility and political competition, it also weakened partisan stability and increased vote dispersion&#x2014;a key driver of political entropy at the municipal level.</p>
<p>At the regional level, the <italic>Tatarella Law</italic> (<italic>Law 43/1995</italic>) established a mixed system combining proportional representation with a majority premium and the direct election of the regional president. Later constitutional reforms in 1999 and 2001 reinforced regional autonomy, while the Lazio Region further adjusted its rules through <italic>Regional Laws 2/2005</italic> and <italic>10/2017</italic>. The 2017 reform abolished the majority bonus and introduced a limit of two consecutive presidential terms. Despite these changes, the underlying logic remained one of governability over representativeness, creating systems that tend to favor executive stability but reduce pluralism.</p>
<p>At the national level, three major electoral reforms defined the period. The <italic>Mattarellum</italic> (<italic>Law 276/1993</italic>) introduced a semi-majoritarian model: 75% of seats filled through single-member districts and 25% via proportional allocation. This fostered bipolar coalitions and enhanced candidate-centered politics. The <italic>Calderoli&#x2019;s Law</italic> (<italic>Law 270/2005</italic>), by contrast, reinstated a proportional system with closed lists and a majority bonus, significantly reducing voter influence over candidate selection&#x2014;and was later ruled partly unconstitutional. The current <italic>Rosatellum</italic> (<italic>Law 165/2017</italic>) reintroduced a mixed structure, with roughly 61% of seats distributed proportionally and 37% through first-past-the-post contests, and a 3% national threshold. This ongoing reform cycle reflects the chronic instability of Italy&#x2019;s institutional engineering: a system constantly oscillating between proportional fairness and majoritarian efficiency, never quite achieving either.</p>
<p>The European elections, in contrast, have remained relatively stable since <italic>Law 18/1979</italic>, amended in 2000 to include a 4% threshold. The use of a pure proportional system with multi-member constituencies ensures pluralism but contributes to a sense of distance between voters and European institutions, reflected in persistently lower turnout levels.</p>
<p>Overall, the Italian electoral framework over these thirty years reveals a patchwork of rules that pull in different directions. The coexistence of proportional, mixed, and majoritarian logics across levels of governance has fostered a complex and fragmented political environment. In Rome, this institutional pluralism has amplified vote volatility and systemic uncertainty&#x2014;a fertile ground for observing entropy in political competition, where instability, dispersion, and voter fragmentation become intrinsic features of the democratic process.</p>
</sec>
<sec id="sec8">
<label>5</label>
<title>Methodological notes</title>
<p>This study adopts a systemic approach to the political market of Rome, examining how the entropy of the electoral offer evolves and mays interacts with voter participation over time. The analysis covers a thirty-year period (1993&#x2013;2023)<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>, encompassing 29 electoral cycles across four distinct levels of competition: local (municipal), regional, national, and European elections. This temporal and institutional breadth allows for a comparative exploration of how political fragmentation and voter behavior vary across scales of governance and over time.</p>
<p>The empirical focus on Rome&#x2014;a metropolitan area with approximately 2.3 million eligible voters&#x2014;offers a unique opportunity to observe electoral dynamics within a dense and politically diversified urban system. Rome&#x2019;s electoral arena combines characteristics of national politics (party competition, coalition structures) with the local specificities of urban governance, making it a particularly rich case for analyzing political entropy.</p>
<p>Entropy is computed following the Shannon formulation, normalized to yield relative entropy values ranging from 0 to 1.</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mi mathvariant="italic">rel</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:msub>
<mml:mo>log</mml:mo>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
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<mml:mi>i</mml:mi>
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<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mi>max</mml:mi>
</mml:msub>
</mml:math>
</disp-formula>
<p>Where <inline-formula>
<mml:math id="M2">
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:math>
</inline-formula>represents the proportion of votes obtained by each party list, and <inline-formula>
<mml:math id="M3">
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mi>max</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> denotes the theoretical maximum entropy given the number of parties. This relative measure allows for comparisons across different electoral contexts with varying numbers of competitors, as suggested by <xref ref-type="bibr" rid="ref12">Ferreira and Dionisio (2008)</xref>. This normalization ensures that the index does not mechanically increase with the mere addition of parties: a higher number of lists only raises relative entropy if electoral support becomes more evenly dispersed among them.</p>
<p>In order to focus on changes in the dynamics of the political market offer, the analysis is restricted to valid votes only. This choice allows entropy to capture the effective distribution of electoral support, excluding invalid or blank ballots that do not convey information about political competition. Furthermore, to isolate the dynamics of political fragmentation rather than representation outcomes, only party lists obtaining at least 1% of the total vote are included. This threshold ensures that entropy reflects the effective structure of the political offer, rather than the long tail of marginal actors whose negligible support could artificially inflate disorder without producing meaningful systemic effects<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref>.</p>
<p>By treating elections as successive states of a complex adaptive system (<xref ref-type="bibr" rid="ref5">Byeon, 2005</xref>; <xref ref-type="bibr" rid="ref19">Marmani et al., 2020</xref>), the study interprets entropy as an indicator of systemic uncertainty. Fluctuations in entropy levels thus capture not only the degree of competition but also the broader informational and emotional coherence of the political field. The methodological design allows for both cross-level and temporal analyses, facilitating the identification of cyclical or self-correcting dynamics in the evolution of Rome&#x2019;s political market.</p>
</sec>
<sec id="sec9">
<label>6</label>
<title>Hypotheses</title>
<p>Drawing on previous studies that conceptualize entropy as both a determinant and a reflection of political stability and participation (<xref ref-type="bibr" rid="ref12">Ferreira and Dionisio, 2008</xref>; <xref ref-type="bibr" rid="ref5">Byeon, 2005</xref>), the research tests three main hypotheses:</p>
<disp-quote>
<p><italic>H1:</italic> Entropy and abstention: a higher level of entropy is expected to correlate with higher voter abstention. When the political offer becomes excessively fragmented or uncertain, voters experience greater difficulty in interpreting political signals and identifying viable options, leading to disengagement (<xref ref-type="bibr" rid="ref12">Ferreira and Dionisio, 2008</xref>). However, the empirical literature remains divided on this relationship, as high entropy can sometimes also mobilize voters through novelty effects or protest motivations.</p>
</disp-quote>
<disp-quote>
<p><italic>H2:</italic> Entropy as a function of political offer: Entropy is hypothesized to increase with the number of lists contesting an election. A larger and more heterogeneous political offer raises the informational complexity of the system and the perceived uncertainty among voters (<xref ref-type="bibr" rid="ref24">V&#x00E4;yrynen, 1972</xref>; <xref ref-type="bibr" rid="ref7">Coleman, 1995</xref>). In this sense, entropy operates as a synthetic indicator of market fragmentation, capturing how the proliferation of competitors disperses attention and confidence across multiple options.</p>
</disp-quote>
<disp-quote>
<p><italic>H3:</italic> Cyclical dynamics of entropy: entropy is expected to follow a wave-like trajectory over time: peaks of uncertainty and political dispersion tend to be followed by phases of re-consolidation and lower entropy levels. This pattern, should be consistent across different electoral levels, reflects the self-regulating nature of political systems (<xref ref-type="bibr" rid="ref5">Byeon, 2005</xref>). After moments of fragmentation or voter disaffection, both parties and citizens appear to adapt&#x2014;reducing uncertainty and restoring temporary equilibrium before the next cycle of disruption emerges.</p>
</disp-quote>
<p>Together, these hypotheses reflect an integrated understanding of electoral entropy as a dynamic equilibrium between fragmentation and consolidation, uncertainty and adaptation. In the Roman context, this cyclical balance may reveal how local and national actors adjust their strategies within a shared political ecosystem, offering new insight into the systemic rhythms of democratic life.</p>
</sec>
<sec sec-type="results" id="sec10">
<label>7</label>
<title>Results</title>
<p>The scatter plot (<xref ref-type="fig" rid="fig1">Figure 1</xref>) illustrates the evolution of relative entropy (HREL) in the Roman political market from 1993 to 2023, across four levels of electoral competition&#x2014;Local (L), Regional (R), National (N), and European (E). Each observation represents the degree of systemic uncertainty and dispersion of the political offer in a given electoral cycle, while the dashed regression line summarizes the overall temporal trajectory.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Scatter Plot of Relative entropy (HREL) over Time. Source: author&#x2019;s elaboration on official data from Eligendo (<ext-link xlink:href="https://elezioni.interno.gov.it/" ext-link-type="uri">https://elezioni.interno.gov.it/</ext-link>).</p>
</caption>
<graphic xlink:href="fpos-08-1744381-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plot of Relative Entropy (HREL) over time from 1993 to 2023, showing data points categorized by election type: Local (blue), Regional (green), National (red), and European (orange). A trend line is included to indicate overall trends. Election types are marked by different colored crosses, with specific lables such as L1, R1, N1 and E1.</alt-text>
</graphic>
</fig>
<p>The data reveal a slight upward drift in entropy over the thirty-year period, though this pattern remains modest and should be interpreted with caution rather than as a strong monotonic trend. In this sense, the Roman political system appears to have become somewhat more fragmented and less predictable, with indications of greater diversity and volatility in the political offer, even as levels of entropy continue to oscillate across electoral cycles and arenas. From an informational standpoint, this points to a gradually more complex environment for voters, who are confronted with an expanding and intermittently reconfigured set of competing signals and heterogeneous alternatives.</p>
<p>A closer inspection of the election types reveals some interesting nuances. Local elections (L) exhibit the highest entropy levels, confirming the more volatile and plural nature of urban political competition, where new civic lists and personal movements frequently enter the arena. Regional (R) and European (E) elections show more irregular patterns, reflecting their varying degrees of politicization and voter engagement over time. National elections (N) tend to display intermediate values, consistent with the stabilizing influence of stronger party brands and structured coalitions.</p>
<p>Overall, the evidence suggests that the entropy of the Roman political market has gradually increased, pointing toward a systemic transition from a more centralized to a more dispersed structure of competition. This evolution can be interpreted through the dual lens proposed by <xref ref-type="bibr" rid="ref12">Ferreira and Dionisio (2008)</xref> and <xref ref-type="bibr" rid="ref19">Marmani et al. (2020)</xref>: higher entropy corresponds to a more fragmented and uncertain political offer, which may simultaneously stimulate voter choice diversification and foster disaffection or abstention when uncertainty exceeds a tolerable threshold.</p>
<p>In this sense, the Roman case exemplifies the dynamics of a complex adaptive democratic system, where entropy acts as a sensitive indicator of the balance between pluralism and coherence, competition and stability. The slow but visible upward trend over time hints at a long-term transformation in the structure of political competition&#x2014;one that mirrors broader processes of party system de-institutionalization and voter volatility observed in many European democracies.</p>
<p>The first hypothesis, grounded in the existing literature, conceptualizes entropy as a potential explanatory factor of voter abstention. However, the empirical evidence from the Roman case does not provide support for this relationship. In the observed electoral cycles, the level of relative entropy shows only a negligible correlation with voter turnout (Pearson&#x2019;s r&#x202F;=&#x202F;&#x2212;0.07). This result remains unchanged when considering lagged entropy values (t&#x2013;1), for which the correlation is similarly weak (r&#x202F;=&#x202F;&#x2212;0.03). Given the limited size of the sample and the focus on a single political market, these findings do not warrant further investigation within the present study. Assessing the relationship between entropy and abstention would require a broader comparative design, involving multiple cases and a more extensive temporal or territorial scope.</p>
<p>To test the second hypothesis, a regression analysis (<xref ref-type="table" rid="tab1">Table 1</xref>) examines the determinants of relative entropy (HREL) in the Roman political system between 1993 and 2023, using a set of explanatory variables derived from the theoretical framework. Relative entropy, interpreted as an indicator of systemic uncertainty, is regressed on variables capturing both temporal dependence and key features of the electoral context.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Regression on relative entropy (HREL).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Coeff.</th>
<th align="center" valign="top"><italic>P</italic> &#x003E;&#x202F;t</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Relative entropy (t-1)</td>
<td align="char" valign="top" char=".">&#x2212;0.338</td>
<td align="char" valign="top" char=".">0.073</td>
</tr>
<tr>
<td align="left" valign="top">Total no. of lists</td>
<td align="char" valign="top" char=".">0.0026&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">0.007</td>
</tr>
<tr>
<td align="left" valign="top">Full duration (previous term)</td>
<td align="char" valign="top" char=".">&#x2212;0.0056</td>
<td align="char" valign="top" char=".">0.775</td>
</tr>
<tr>
<td align="left" valign="top">Election day concurrency</td>
<td align="char" valign="top" char=".">&#x2212;0.071&#x002A;</td>
<td align="char" valign="top" char=".">0.006</td>
</tr>
<tr>
<td align="left" valign="top">Constant</td>
<td align="char" valign="top" char=".">1.033</td>
<td align="char" valign="top" char=".">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Dependent variable&#x202F;=&#x202F;Relative Entropy (HREL). <italic>N</italic>&#x202F;=&#x202F;25. R<sup>2</sup>&#x202F;=&#x202F;0.46. Standard errors in parentheses. &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01. F-statistic: 5.0041, p: 0.0047. Source: Author&#x2019;s elaboration on official data from Eligendo (<ext-link xlink:href="https://elezioni.interno.gov.it/" ext-link-type="uri">https://elezioni.interno.gov.it/</ext-link>).</p>
</table-wrap-foot>
</table-wrap>
<p>The first variable, <italic>relative entropy (t&#x2013;1)</italic>, captures the inertia of the system&#x2014;whether high entropy in one election tends to persist in the next, as suggested by <xref ref-type="bibr" rid="ref7">Coleman (1995)</xref>. The negative coefficient (&#x2212;0.338) indicates a self-correcting dynamic, where periods of high fragmentation are often followed by lower entropy in subsequent elections. However, the result is not statistically significant (<italic>p</italic>&#x202F;=&#x202F;0.115), suggesting that while the adaptive tendency exists, it is not strong enough to confirm a stable autoregressive pattern in the Roman case.</p>
<p>The variable <italic>total number of lists</italic> is the only significant positive determinant (coeff. = 0.0026, <italic>p</italic>&#x202F;=&#x202F;0.007). This aligns with both the theoretical expectations and empirical literature (<xref ref-type="bibr" rid="ref24">V&#x00E4;yrynen, 1972</xref>; <xref ref-type="bibr" rid="ref12">Ferreira and Dionisio, 2008</xref>; <xref ref-type="bibr" rid="ref19">Marmani et al., 2020</xref>). A larger number of competing lists increases the fragmentation of the political offer, thereby raising systemic entropy. In practical terms, the proliferation of electoral options amplifies uncertainty in voter decision-making, disperses informational cues, and reduces predictability in the political market. This finding strongly supports the idea that the structure of political supply is a key driver of systemic uncertainty.</p>
<p>The variable <italic>full duration</italic> (indicating whether an election was held to term or called early) shows a small and insignificant negative coefficient (<italic>p</italic>&#x202F;=&#x202F;0.775). This suggests that early elections do not systematically affect the level of entropy. While intuitively one might expect premature elections to signal political instability and thus raise entropy, the data indicate that their occurrence in Rome has not translated into meaningful shifts in systemic fragmentation.</p>
<p>Finally, <italic>election day concurrency</italic>, representing the simultaneity of multiple elections, displays a negative and marginally significant coefficient (&#x2212;0.071, <italic>p</italic>&#x202F;=&#x202F;0.006). This is coherent with <xref ref-type="bibr" rid="ref19">Marmani et al. (2020)</xref>, who found that simultaneous elections tend to reduce entropy by concentrating voter attention and reinforcing partisan alignment. When multiple contests occur on the same day, citizens often rely on the same cognitive and informational shortcuts across ballots, leading to a more coherent distribution of votes.</p>
<p>Taken together, the model explains about 46% of the variation in entropy (R<sup>2</sup>&#x202F;=&#x202F;0.465), suggesting a moderate degree of explanatory power given the inherently noisy nature of electoral data. F-statistic value around 5 and a significance at <italic>p</italic>&#x202F;=&#x202F;0.01 allow us to consider not all the parameters equal to zero. The results confirm that entropy is mainly driven by the fragmentation of the political offer rather than by past dynamics, turnout, or institutional timing. The Roman political market thus appears highly sensitive to the structural complexity of electoral competition, with the number of competing lists functioning as the most reliable predictor of systemic uncertainty.</p>
<p>To better capture the systemic dynamics underlying the regression results, it is necessary to look beyond aggregate measures and examine how relative entropy (HREL) evolves within each electoral level&#x2014;local, regional, national, and European. <xref ref-type="fig" rid="fig2">Figure 2</xref> provides this disaggregated view, illustrating the temporal evolution of entropy in the Roman political market between 1993 and 2023. By isolating each arena, we can observe how the system&#x2019;s behavior varies across scales of governance and electoral engagement.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Relative entropy on different electoral markets in Rome. Source: author&#x2019;s elaboration on official data from Eligendo (<ext-link xlink:href="https://elezioni.interno.gov.it/" ext-link-type="uri">https://elezioni.interno.gov.it/</ext-link>).</p>
</caption>
<graphic xlink:href="fpos-08-1744381-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four line graphs compare Relative Entropy (HREL) from 1993 to 2023 across different scales. The &#x201C;Local&#x201D; graph shows fluctuations between 0.72 and 0.86. The &#x201C;Regional&#x201D; graph depicts variations from 0.79 to 0.83. The &#x201C;National&#x201D; graph oscillates between 0.70 and 0.88. The &#x201C;European&#x201D; graph varies from 0.72 to 0.84. Each graph highlights data points and trends over time.</alt-text>
</graphic>
</fig>
<p>Across all four levels, the patterns reveal a distinct wave-like motion&#x2014;a cyclical alternation between phases of high and low entropy. This empirical regularity confirms the systemic interpretation of <xref ref-type="bibr" rid="ref5">Byeon (2005)</xref>, who argued that political systems tend to oscillate between moments of disorder and periods of re-stabilization. In Rome&#x2019;s case, periods of high entropy correspond to fragmented, uncertain, and competitive electoral environments, while subsequent declines in entropy signal adaptive rebalancing, as voters and political actors respond to excess fragmentation by reconsolidating support. This oscillatory movement suggests that the Roman political market behaves as a self-correcting adaptive system, continually adjusting its internal equilibrium in response to fluctuations in political supply and voter sentiment.</p>
<p>When the analysis is disaggregated, each electoral level displays its own rhythm.</p>
<p>At the local level, entropy shows the most pronounced oscillations. The volatility of municipal politics&#x2014;driven by the frequent emergence of civic lists, local movements, and short-lived alliances&#x2014;produces sharp increases in entropy, often followed by stabilization when the electorate reorients toward stronger or more institutionalized parties. Regional elections display a similar cyclical pattern but with moderate amplitude. Here, the interplay between local identities and national party structures generates temporary spikes in fragmentation, yet the system tends to re-stabilize as governing coalitions consolidate.</p>
<p>At the national level, the trend is smoother, suggesting the partial stabilizing effect of party brands, leadership continuity, and ideological anchoring. Nonetheless, even national contests reveal fluctuations linked to systemic shocks&#x2014;such as party realignments or leadership crises&#x2014;that temporarily raise entropy before the system recentres.</p>
<p>Finally, European elections show irregular but still cyclical trajectories. Their entropy levels oscillate according to the varying salience of EU politics in domestic discourse and the alternating presence of populist or issue-based formations that attract disaffected voters.</p>
<p>Taken together, these trajectories reveal that entropy in the Roman political system is not random variation but a manifestation of cyclical adaptation. Each level of election contributes differently to this balance: when one arena becomes fragmented, others tend to stabilize, allowing the system as a whole to avoid sustained disorder. This pattern supports the idea of an &#x201C;oscillatory equilibrium,&#x201D; in which the system absorbs shocks and reorganizes itself through the interactive behavior of voters and political actors.</p>
<p>From a theoretical perspective, these findings refine the picture emerging from the regression results. While structural variables such as the number of competing lists remain the strongest predictors of systemic uncertainty, the temporal and multi-level analysis shows that entropy also reflects adaptive feedback mechanisms inherent to democratic systems. Rather than signaling progressive destabilization, the fluctuating entropy of the Roman political market illustrates its capacity for renewal and re-equilibration&#x2014;a hallmark of resilient, though increasingly complex, democratic dynamics.</p>
</sec>
<sec id="sec11">
<label>8</label>
<title>Conclusions and reflections</title>
<p>The findings of this study contribute to the growing body of literature that interprets entropy as a systemic indicator of political complexity, uncertainty, and adaptive behavior. In line with existing research on the informational interpretation of political competition, the results show that a broader and more diversified political offer&#x2014;measured by the number of lists competing in each election&#x2014;tends to fragment the vote and reduce participation. When citizens are faced with an increasingly complex electoral environment, their ability to decode political messages and identify meaningful distinctions among parties becomes strained. This informational overload often translates into disaffection or disengagement, as suggested by <xref ref-type="bibr" rid="ref12">Ferreira and Dionisio (2008)</xref> and supported here by the significant relationship between entropy and the structural fragmentation of the political offer.</p>
<p>At the same time, the analysis of temporal dynamics across electoral levels reveals that entropy does not increase indefinitely. Instead, it follows a wave-like pattern, confirming the oscillatory behavior theorized by <xref ref-type="bibr" rid="ref5">Byeon (2005)</xref>. After moments of heightened uncertainty and dispersion, the system appears to self-correct, returning to more moderate levels of entropy. This dynamic equilibrium reflects a form of collective adaptation, in which both voters and political actors respond to excessive fragmentation by re-stabilizing preferences, alliances, and electoral strategies. In this sense, entropy can be understood not only as a measure of disorder but also as an indicator of the system&#x2019;s resilience and self-regulation.</p>
<p>These oscillations, observed consistently across local, regional, national, and European elections, suggest that the Roman political market functions as a complex adaptive system&#x2014;one that continuously negotiates between pluralism and coherence. Periods of high entropy stimulate political innovation and diversification, while phases of lower entropy favour consolidation and predictability. The alternation between these two states embodies the cyclical rhythm of democratic competition in a multi-level context.</p>
<p>Some clear limitations of this study should be acknowledged, in line with its exploratory scope as outlined in the introduction. Focusing on a single territorial political market does not allow for general conclusions about the broader dynamics of political complexity, and future research should extend the analysis to multiple cases and contexts. Moreover, while the present approach captures the structural dispersion of the political offer, it does not explicitly account for power asymmetries among political actors or for qualitative differences between party lists. Incorporating these dimensions would allow for a more refined application of the complexity-based perspective and a more nuanced interpretation of electoral entropy (see <xref ref-type="bibr" rid="ref4">Bischof, 2015</xref>).</p>
<p>Finally, the capacity to monitor and interpret these entropic dynamics opens up intriguing possibilities for future research and even for strategic forecasting. If entropy levels indeed capture the systemic uncertainty of the political market, they could serve as early indicators for shifts in electoral behavior or as tools to anticipate phases of fragmentation and consolidation. Understanding the patterns of entropy thus offers not only analytical insight into the structure of democratic competition, but also a potential framework for interpreting and managing the information dynamics that shape the stability and evolution of complex political systems like Rome.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec12">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="sec13">
<title>Author contributions</title>
<p>CF: Conceptualization, Formal analysis, Methodology, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. FL: Conceptualization, Formal analysis, Methodology, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec14">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
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</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0003">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2783305/overview">Roberto De Rosa</ext-link>, University Niccol&#x00F2; Cusano, Italy</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0004">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3283496/overview">Lorenzo Termine</ext-link>, European University Institute (EUI), Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3285232/overview">Matthew E. Bergman</ext-link>, Corvinus University of Budapest, Hungary</p>
</fn>
</fn-group>
<fn-group>
<fn id="fn0001">
<label>1</label>
<p>The selected time span (1993&#x2013;2023) is necessary to ensure the comparability of the political offer over time. The profound transformation of the Italian party system between the late 1980s and the early 1990s&#x2014;marked by the collapse of traditional parties and major reforms of the electoral framework - produced a structural discontinuity in political competition. Starting the analysis in 1993 allows the study to focus on a relatively homogeneous institutional and partisan context, in which the set of political actors and the rules of competition are sufficiently stable to support longitudinal comparison.</p>
</fn>
<fn id="fn0002">
<label>2</label>
<p>The 1% threshold was selected in order to ensure that the residual category of excluded lists accounts for less than 10% of the total valid votes, thereby limiting potential distortions in the measurement of relative entropy.</p>
</fn>
</fn-group>
</back>
</article>