Literature DB >> 24032971

Engagement in the electoral processes: scaling laws and the role of political positions.

M C Mantovani1, H V Ribeiro, E K Lenzi, S Picoli, R S Mendes.   

Abstract

We report on a statistical analysis of the engagement in the electoral processes of all Brazilian cities by considering the number of party memberships and the number of candidates for mayor and councillor. By investigating the relationships between the number of party members and the population of voters, we have found that the functional forms of these relationships are well described by sublinear power laws (allometric scaling) surrounded by a multiplicative log-normal noise. We have observed that this pattern is quite similar to those we previously reported for the relationships between the number of candidates (mayor and councillor) and population of voters [Europhys. Lett. 96, 48001 (2011)], suggesting that similar universal laws may be ruling the engagement in the electoral processes. We also note that the power-law exponents display a clear hierarchy, where the more influential is the political position the smaller is the value of the exponent. We have also investigated the probability distributions of the number of candidates (mayor and councillor), party memberships, and voters. The results indicate that the most influential positions are characterized by distributions with very short tails, while less influential positions display an intermediate power-law decay before showing an exponential-like cutoff. We discuss the possibility that, in addition to the political power of the position, limitations in the number of available seats can also be connected with this changing of behavior. We further believe that our empirical findings point out to an under-representation effect, where the larger the city is, the larger are the obstacles for more individuals to become directly engaged in the electoral process.

Year:  2013        PMID: 24032971     DOI: 10.1103/PhysRevE.88.024802

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

1.  Scale-Adjusted Metrics for Predicting the Evolution of Urban Indicators and Quantifying the Performance of Cities.

Authors:  Luiz G A Alves; Renio S Mendes; Ervin K Lenzi; Haroldo V Ribeiro
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

2.  Voting contagion: Modeling and analysis of a century of U.S. presidential elections.

Authors:  Dan Braha; Marcus A M de Aguiar
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

3.  The price of a vote: Diseconomy in proportional elections.

Authors:  Hygor Piaget M Melo; Saulo D S Reis; André A Moreira; Hernán A Makse; José S Andrade
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

4.  Fundraising and vote distribution: A non-equilibrium statistical approach.

Authors:  Hygor P M Melo; Nuno A M Araújo; José S Andrade
Journal:  PLoS One       Date:  2019-10-30       Impact factor: 3.240

5.  Stylized Facts in Brazilian Vote Distributions.

Authors:  Angelo Mondaini Calvão; Nuno Crokidakis; Celia Anteneodo
Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

6.  Rural to Urban Population Density Scaling of Crime and Property Transactions in English and Welsh Parliamentary Constituencies.

Authors:  Quentin S Hanley; Dan Lewis; Haroldo V Ribeiro
Journal:  PLoS One       Date:  2016-02-17       Impact factor: 3.240

7.  Unveiling relationships between crime and property in England and Wales via density scale-adjusted metrics and network tools.

Authors:  Haroldo V Ribeiro; Quentin S Hanley; Dan Lewis
Journal:  PLoS One       Date:  2018-02-22       Impact factor: 3.240

8.  Universal scaling laws in metro area election results.

Authors:  Eszter Bokányi; Zoltán Szállási; Gábor Vattay
Journal:  PLoS One       Date:  2018-02-22       Impact factor: 3.240

  8 in total

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