Emergence of Equilibria from Individual Strategies in Online Content Diffusion
Eitan Altman, Francesco De Pellegrini, Rachid El-Azouzi, Daniele, Miorandi, Tania Jimenez

TL;DR
This paper models how individuals in social networks adopt new content based on threshold policies, using game theory and mean-field analysis to explain the emergence of these behaviors and their relation to content quality information.
Contribution
It introduces a game-theoretic mean-field model to explain the emergence of threshold policies in online content diffusion as a rational process.
Findings
Threshold equilibria emerge under specific parameter conditions.
Other equilibrium structures can arise depending on parameters.
The model links view counts to content quality inference.
Abstract
Social scientists have observed that human behavior in society can often be modeled as corresponding to a threshold type policy. A new behavior would propagate by a procedure in which an individual adopts the new behavior if the fraction of his neighbors or friends having adopted the new behavior exceeds some threshold. In this paper we study the question of whether the emergence of threshold policies may be modeled as a result of some rational process which would describe the behavior of non-cooperative rational members of some social network. We focus on situations in which individuals take the decision whether to access or not some content, based on the number of views that the content has. Our analysis aims at understanding not only the behavior of individuals, but also the way in which information about the quality of a given content can be deduced from view counts when only part…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Game Theory and Applications · Complex Network Analysis Techniques
