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Empiricism for descriptive social network models

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  • Roth, Camille

Abstract

Social complex system modeling is at the core of a recent interdisciplinary effort, in which statistical physics has been playing a notable role; yet, the unfrequent validation of behavioral hypotheses possibly leads to normative rather than descriptive models, plausibly less appealing to social scientists. An epistemological insight and hindsight on this whole program is proposed, emphasizing a strong empirical methodology which extends to low-level agent-based dynamics. Special attention is given to the recent interest in knowledge diffusion models.

Suggested Citation

  • Roth, Camille, 2007. "Empiricism for descriptive social network models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 53-58.
    • Handle: RePEc:eee:phsmap:v:378:y:2007:i:1:p:53-58
    DOI: 10.1016/j.physa.2006.11.045
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    References listed on IDEAS

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    1. Zhang, Pei-Pei & Kan Chen, & He, Yue & Zhou, Tao & Su, Bei-Bei & Jin, Yingdi & Chang, Hui & Zhou, Yue-Ping & Sun, Li-Cheng & Wang, Bing-Hong & He, Da-Ren, 2006. "Model and empirical study on some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 599-616.
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    Cited by:

    1. Fontana, Magda & Terna, Pietro, 2015. "From Agent-based models to network analysis (and return): the policy-making perspective," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201507, University of Turin.
    2. Weimer-Jehle, Wolfgang, 2008. "Cross-impact balances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3689-3700.

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