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Social Network Modelling using tools of Statistical Mechanics

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  • Menon, Ashish
  • Rajendran, Nithin K
  • Chandrachud, Anish

Abstract

The objective of this paper is to study a treatment to social network analysis using the principles of statistical mechanics. After revisiting the popular models and random graph frameworks of complex networks, a formalism to statistical mechanism based on the conventional concepts like phase space, interactions and ensembles is devised. Specific machine learning techniques are employed for the purpose of figuring out the relevant phase-space equations. Thereafter, specific applications of the formalism is explored in the context of business partnership optimization and disease transmission. Several analogues with the statistical mechanics treatment of thermodynamics have also been made.

Suggested Citation

  • Menon, Ashish & Rajendran, Nithin K & Chandrachud, Anish, 2020. "Social Network Modelling using tools of Statistical Mechanics," OSF Preprints 8we3v, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:8we3v
    DOI: 10.31219/osf.io/8we3v
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    References listed on IDEAS

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    1. Müge Özman, 2005. "Interactions in economic models : statistical mechanics and networks," Post-Print hal-02550950, HAL.
    2. Müge Ozman, 2005. "Interactions in economic models: Statistical mechanics and networks," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 4(2), pages 223-238, December.
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