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Dynamics of an agent-based opinion model with complete social connectivity network

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  • Alatas, Husin
  • Nurhimawan, Salamet
  • Asmat, Fikri
  • Hardhienata, Hendradi

Abstract

In this report we discuss a simple agent based model for opinion dynamics where each of agent have complete social connectivity network with other agents. The state of an agent is described by three attributes. In our model, both the opinion level and attributes of an agent are affected by its social connectivity with other connected agents. We also introduce the notions of opinion and connectivity perception indices to characterize the intrinsic behavior of an agent that influence its connectivity with the corresponding connected neighbors. Shannon-like entropy is used to describe the dynamical characteristics of the developed model in terms of opinion level. The opinion dynamics in the presence of isolated and stubborn agents are also discussed. We found that the presence of stubborn agents demonstrate a remarkable phase-transition phenomenon on the corresponding opinion levels.

Suggested Citation

  • Alatas, Husin & Nurhimawan, Salamet & Asmat, Fikri & Hardhienata, Hendradi, 2017. "Dynamics of an agent-based opinion model with complete social connectivity network," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 24-32.
  • Handle: RePEc:eee:chsofr:v:101:y:2017:i:c:p:24-32
    DOI: 10.1016/j.chaos.2017.05.016
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    1. Yang, Da & Qiu, Xiaoping & Yu, Dan & Sun, Ruoxiao & Pu, Yun, 2015. "A cellular automata model for car–truck heterogeneous traffic flow considering the car–truck following combination effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 62-72.
    2. Ellero, Andrea & Fasano, Giovanni & Sorato, Annamaria, 2009. "A modified Galam’s model for word-of-mouth information exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(18), pages 3901-3910.
    3. Sun, Shiwen & Li, Ruiqi & Wang, Li & Xia, Chengyi, 2015. "Reduced synchronizability of dynamical scale-free networks with onion-like topologies," Applied Mathematics and Computation, Elsevier, vol. 252(C), pages 249-256.
    4. Colon, C. & Claessen, D. & Ghil, M., 2015. "Bifurcation analysis of an agent-based model for predator–prey interactions," Ecological Modelling, Elsevier, vol. 317(C), pages 93-106.
    5. Xia, Chengyi & Wang, Juan & Wang, Li & Sun, Shiwen & Sun, Junqing & Wang, Jinsong, 2012. "Role of update dynamics in the collective cooperation on the spatial snowdrift games: Beyond unconditional imitation and replicator dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 45(9), pages 1239-1245.
    6. Cheng-Yi Xia & Xiao-Kun Meng & Zhen Wang, 2015. "Heterogeneous Coupling between Interdependent Lattices Promotes the Cooperation in the Prisoner’s Dilemma Game," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    7. Galam, Serge, 2004. "Contrarian deterministic effects on opinion dynamics: “the hung elections scenario”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 453-460.
    8. Amblard, Frédéric & Deffuant, Guillaume, 2004. "The role of network topology on extremism propagation with the relative agreement opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 725-738.
    9. Cremonini, Marco, 2016. "Introducing serendipity in a social network model of knowledge diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 64-71.
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    Cited by:

    1. Shang, Yilun, 2018. "Hybrid consensus for averager–copier–voter networks with non-rational agents," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 244-251.

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