Entropic Analysis of Votes Expressed in Italian Elections between 1948 and 2018

Journal article


Marmani, S., Ficcadenti, V., Kaur, P. and Dhesi, G. (2020). Entropic Analysis of Votes Expressed in Italian Elections between 1948 and 2018. Entropy. 22 (5), pp. 523-523. https://doi.org/10.3390/e22050523
AuthorsMarmani, S., Ficcadenti, V., Kaur, P. and Dhesi, G.
Abstract

In Italy, the elections occur often, indeed almost every year the citizens are involved in a democratic choice for deciding leaders of different administrative entities. Sometimes the citizens are called to vote for filling more than one office in more than one administrative body. This phenomenon has occurred 35 times after 1948; it creates the peculiar condition of having the same sample of people expressing decisions on political bases at the same time. Therefore, the Italian contemporaneous ballots constitute the occasion to measure coherence and chaos in the way of expressing political opinion. In this paper, we address all the Italian elections that occurred between 1948 and 2018. We collect the number of votes per party at each administrative level and we treat each election as a manifestation of a complex system. Then, we use the Shannon entropy and the Gini Index to study the degree of disorder manifested during different types of elections at the municipality level. A particular focus is devoted to the contemporaneous elections. Such cases implicate different disorder dynamics in the contemporaneous ballots, when different administrative level are involved. Furthermore, some features that characterize different entropic regimes have emerged.

Year2020
JournalEntropy
Journal citation22 (5), pp. 523-523
PublisherMDPI
ISSN1099-4300
Digital Object Identifier (DOI)https://doi.org/10.3390/e22050523
Publication dates
Online04 May 2020
Publication process dates
Accepted01 May 2020
Deposited07 May 2020
File
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/89v2z

Download files

  • 67
    total views
  • 90
    total downloads
  • 0
    views this month
  • 1
    downloads this month

Export as

Related outputs

Markov Chain Monte Carlo for generating ranked textual data
Ficcadenti, V., Cerqueti, R., Dhesi, G. and Ausloos, M. (2022). Markov Chain Monte Carlo for generating ranked textual data. Information Sciences. 610, pp. 425-439. https://doi.org/10.1016/j.ins.2022.07.137
Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS
Dai, X., Xiao, L., Wang, Q. and Dhesi, G. (2021). Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS. Energy Policy. 156, p. 112428. https://doi.org/10.1016/j.enpol.2021.112428
Influence of blockchain adoption on technology transfer, performance and supply chain integration, exibility and responsiveness. A case study from IT&C medium size enterprises
Ceptureanu, S., Cerqueti, R., Alexandru, A., Popescu, D., Dhesi, G. and Ceptureanu, E. (2021). Influence of blockchain adoption on technology transfer, performance and supply chain integration, exibility and responsiveness. A case study from IT&C medium size enterprises. Studies in Informatics and Control. 30 (3), pp. 61-74. https://doi.org/10.24846/v30i3y202106
Does Death Anxiety Inhibit Product Innovation?An Exploratory Study In Small Manufacturing Companies
Cerqueti, R., Ceptureanu, S.I., Ceptureanu, E.G., Dhesi, G. and Luchian, I. (2021). Does Death Anxiety Inhibit Product Innovation?An Exploratory Study In Small Manufacturing Companies. Economic Computation and Economic Cybernetics Studies and Research. 55 (1/2021), pp. 135-147. https://doi.org/10.24818/18423264/55.1.21.09
Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Physica A: Statistical Mechanics and its Applications. 574, pp. 125969-125969. https://doi.org/10.1016/j.physa.2021.125969
Stock Index Futures Trading Impact on Spot Price Volatility. The CSI 300 studied with a TGARCH model
Ausloos, M, Zhang, Y and Dhesi, G (2020). Stock Index Futures Trading Impact on Spot Price Volatility. The CSI 300 studied with a TGARCH model. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2020.113688
Words ranking and Hirsch index for identifying the core of the hapaxes in political texts
Ficcadenti, V., Cerqueti, R., Ausloos, M. and Dhesi, G. (2020). Words ranking and Hirsch index for identifying the core of the hapaxes in political texts. Journal of Informetrics. 14 (3), pp. 101054-101054. https://doi.org/10.1016/j.joi.2020.101054
Analysis of Social Media Impact on Opportunity Recognition. A Social Networks and Entrepreneurial Alertness Mixed Approach
Ceptureanu, S., Ceptureanu, E., Cristescu, M. and Dhesi, G. (2020). Analysis of Social Media Impact on Opportunity Recognition. A Social Networks and Entrepreneurial Alertness Mixed Approach. Entropy: international and interdisciplinary journal of entropy and information studies. 22 (3). https://doi.org/10.3390/e22030343
Liquidity transmission and the subprime mortgage crisis: a multivariate GARCH approach
Xiao, L., Dhesi, G., Ceptureanu, E.G., Lin, K., Herteliu, C., Syed, B. and Ceptureanu, S.I. (2020). Liquidity transmission and the subprime mortgage crisis: a multivariate GARCH approach. Soft Computing. 10. https://doi.org/10.1007/s00500-020-04772-4
Money's Importance from the religious perspective
Dhesi, G., Herteliu, C., Jianu, I., Jianu, J., Bobb, V.C., Ceptureanu, S.I., Ceptureanu, E.G. and Ausloos, M. (2019). Money's Importance from the religious perspective. Annals of Operations Research. https://doi.org/10.1007/s10479-019-03488-5
Duration gap analysis revisited method in order to improve risk management: the case of Chinese commercial bank interest rate risks after interest rate liberalization
Dhesi, G., Ausloos, M., Ma, Q., Kaur, P. and Syed, B. (2019). Duration gap analysis revisited method in order to improve risk management: the case of Chinese commercial bank interest rate risks after interest rate liberalization. Soft Computing. https://doi.org/10.1007/s00500-019-04376-7
Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach
Dhesi, G., Shakeel, B. and Ausloos, M. (2019). Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach. Annals of Operations Research. pp. 1-4. https://doi.org/10.1007/s10479-019-03305-z
Evidence for Gross Domestic Product growth time delay dependence over Foreign Direct Investment. A time-lag dependent correlation study
Dhesi, G, Ausloos, M, Kaur, P and Eskandary, A (2019). Evidence for Gross Domestic Product growth time delay dependence over Foreign Direct Investment. A time-lag dependent correlation study. Physica A: Statistical Mechanics and its Applications. 527. https://doi.org/10.1016/j.physa.2019.121181
Non stationarity of high order return distribution moments and their Irrational fractional Brownian Motion modelling
Dhesi, G (2018). Non stationarity of high order return distribution moments and their Irrational fractional Brownian Motion modelling. EURO 2018. Valencia 08 - 11 Jul 2018
Comparative Causality Analyses between Hydrological Natural Inflow and Climate Variables in Brazil
Huang, X, Macaira, P, Hassani, H, Oliviera, F and Dhesi, G (2018). Comparative Causality Analyses between Hydrological Natural Inflow and Climate Variables in Brazil. Physica A: Statistical Mechanics and its Applications. 516, pp. 480-495. https://doi.org/10.1016/j.physa.2018.09.079
Decomposition of the Inequality of Income distribution by income types- Application for Romania
Andrei, T, Oancea, B, Richmond, P, Dhesi, G and Herteliu, C. (2017). Decomposition of the Inequality of Income distribution by income types- Application for Romania. Entropy. 19 (9), p. 430. https://doi.org/10.3390/e19090430
Modelling and measuring the irrational behaviour of agents in financial markets: Discovering the psychological soliton
Dhesi, G and Ausloos, M (2016). Modelling and measuring the irrational behaviour of agents in financial markets: Discovering the psychological soliton. Chaos, Solitons and Fractals. 88 (July), pp. 119-125. https://doi.org/10.1016/j.chaos.2015.12.015
Modified Brownian Motion Approach to Modelling Returns Distribution
Dhesi, G, Shakeel, MB and Xiao, L (2016). Modified Brownian Motion Approach to Modelling Returns Distribution. Wilmott. 82, pp. 74-77. https://doi.org/10.1002/wilm.10494
Finite size effects in the averaged eigenvalue density of Wigner random-sign real symmetric matrices
Dhesi, G and Ausloos, M (2016). Finite size effects in the averaged eigenvalue density of Wigner random-sign real symmetric matrices. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 93 (6). https://doi.org/10.1103/PhysRevE.93.062115