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Modeling interactions between political parties and electors

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  • Bagarello, F.
  • Gargano, F.

Abstract

In this paper we extend some recent results on an operatorial approach to the description of alliances between political parties interacting among themselves and with a basin of electors. In particular, we propose and compare three different models, deducing the dynamics of their related decision functions, i.e. the attitude of each party to form or not an alliance. In the first model the interactions between each party and their electors are considered. We show that these interactions drive the decision functions toward certain asymptotic values depending on the electors only: this is the perfect party, which behaves following the electors’ suggestions. The second model is an extension of the first one in which we include a rule which modifies the status of the electors, and of the decision functions as a consequence, at some specific time step. In the third model we neglect the interactions with the electors while we consider cubic and quartic interactions between the parties and we show that we get (slightly oscillating) asymptotic values for the decision functions, close to their initial values. This is the real party, which does not listen to the electors. Several explicit situations are considered in details and numerical results are also shown.

Suggested Citation

  • Bagarello, F. & Gargano, F., 2017. "Modeling interactions between political parties and electors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 243-264.
    • Handle: RePEc:eee:phsmap:v:481:y:2017:i:c:p:243-264
    DOI: 10.1016/j.physa.2017.04.035
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    References listed on IDEAS

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    1. Feichtinger, Gustav & Wirl, Franz, 1994. "On the stability and potential cyclicity of corruption in governments subject to popularity constraints," Mathematical Social Sciences, Elsevier, vol. 28(2), pages 113-131, October.
    2. Asano, Masanari & Basieva, Irina & Khrennikov, Andrei & Ohya, Masanori & Tanaka, Yoshiharu, 2012. "Quantum-like dynamics of decision-making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2083-2099.
    3. Bagarello, Fabio & Oliveri, Francesco, 2014. "Dynamics of closed ecosystems described by operators," Ecological Modelling, Elsevier, vol. 275(C), pages 89-99.
    4. Bagarello, F. & Haven, E., 2016. "First results on applying a non-linear effect formalism to alliances between political parties and buy and sell dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 403-414.
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    Cited by:

    1. Bagarello, F. & Di Salvo, R. & Gargano, F. & Oliveri, F., 2018. "(H,ρ)-induced dynamics and large time behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 355-373.
    2. Di Salvo, Rosa & Gorgone, Matteo & Oliveri, Francesco, 2020. "Generalized Hamiltonian for a two-mode fermionic model and asymptotic equilibria," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    3. Bagarello, F., 2020. "One-directional quantum mechanical dynamics and an application to decision making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).

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