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Agent-based interpretations of classic network models

Author

Listed:
  • Federico Bergenti

    (Università degli Studi di Parma)

  • Enrico Franchi

    (Università degli Studi di Parma)

  • Agostino Poggi

    (Università degli Studi di Parma)

Abstract

The paper is aimed at developing agent-based variants of traditional network models that make full use of concurrency. First, we review some classic models of the static structure of complex networks with the objective of developing agent-based models suited for simulating a large-scale, technology-enabled social network. Secondly, we outline the basic properties that characterize such networks. Then, we briefly discuss some classic network models and the properties of the networks they generate. Finally, we discuss how such models can be converted into agent-based models (i) to be executed more easily in heavily concurrent environments and (ii) to serve as basic blocks for more complex agent-based models. We evidence that many implicit assumptions made by traditional models regarding their execution environment are too expensive or outright impossible to maintain in concurrent environments. Consequently, we present the concurrency issues resulting from the violation of such assumptions. Then, we experimentally show that, under reasonable hypothesis, the agent-based variants maintain the main features of the classic models, notwithstanding the change of environment. Eventually, we present a meta-model that we singled out from the individual classic models and that we used to simplify the agent-oriented conversion of the traditional models. Finally, we discuss the software tools that we built to run the agent-based simulations.

Suggested Citation

  • Federico Bergenti & Enrico Franchi & Agostino Poggi, 2013. "Agent-based interpretations of classic network models," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 105-127, June.
  • Handle: RePEc:spr:comaot:v:19:y:2013:i:2:d:10.1007_s10588-012-9150-x
    DOI: 10.1007/s10588-012-9150-x
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    References listed on IDEAS

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    1. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
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    Cited by:

    1. Bing Bai & Byungjoon Yoo & Xiuquan Deng & Iljoo Kim & Dehua Gao, 2016. "Linking routines to the evolution of IT capability on agent-based modeling and simulation: a dynamic perspective," Computational and Mathematical Organization Theory, Springer, vol. 22(2), pages 184-211, June.
    2. Stefania Monica & Federico Bergenti, 2017. "Opinion dynamics in multi-agent systems: selected analytic models and verifying simulations," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 423-450, September.

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