Online Social Networks and Behavior: A Game Theory Approach

A special issue of Games (ISSN 2073-4336).

Deadline for manuscript submissions: closed (1 August 2015) | Viewed by 12485

Special Issue Editors


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Guest Editor
Utrecht University, Utrecht, Netherlands
Interests: Experimental Sociology; Mathematical Sociology; Research Methods; Social Networks; Game Theory; Theoretical Sociology
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Utrecht University, Utrecht, Netherlands
Interests: Computational Social Sciences; Experimental Sociology; Social Media; Social Networks; Sociology; Game Theory; Citizens' Collectivities; Sharing Economy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the past decade, the spectacular rise of online social networks, such as Facebook and Twitter, is not only a fascinating social phenomenon in its own right, but also provides social scientists with a new research context to study human interaction at an unprecedented scale. While much is known about the macro-level properties of such networks, modeling behavior and the emergence of online social networks (in such a way as to be based on plausible micro-foundations) remains a challenge.

There is a blossoming game-theoretical literature on social networks discussing the modeling effects of social networks and of their evolution (as the result of strategic interaction between goal-directed individual actors). However, many open questions exist. For example, why do some behaviors spread so rapidly through online networks? Why are collective goods sometimes produced in extensive amounts in online communities (e.g., Wikipedia, Linux)?

We think that the time is right to bring together the research efforts that attempt to explain behavior in online social networks using game-theoretical models. We welcome contributions that propose game-theoretical models for behavior in online social networks. We also welcome empirical studies, such as online experiments, observational studies using online data, and laboratory experiments that test the implications of game-theoretical models on behavior in online social networks.

Prof. Dr. Vincent Buskens

Dr. Rense Corten
Guest Editors

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Keywords

  • online social networks
  • behavior on networks
  • network formation
  • theoretical models
  • experiments
  • online data

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Published Papers (1 paper)

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382 KiB  
Article
Risk Aversion and Engagement in the Sharing Economy
by Jessica Santana and Paolo Parigi
Games 2015, 6(4), 560-573; https://doi.org/10.3390/g6040560 - 26 Oct 2015
Cited by 26 | Viewed by 12010
Abstract
The sharing economy is a new online community that has important implications for offline behavior. This study evaluates whether engagement in the sharing economy is associated with an actor’s aversion to risk. Using a web-based survey and a field experiment, we apply an [...] Read more.
The sharing economy is a new online community that has important implications for offline behavior. This study evaluates whether engagement in the sharing economy is associated with an actor’s aversion to risk. Using a web-based survey and a field experiment, we apply an adaptation of Holt and Laury’s (2002) risk lottery game to a representative sample of sharing economy participants. We find that frequency of activity in the sharing economy predicts risk aversion, but only in interaction with satisfaction. While greater satisfaction with sharing economy websites is associated with a decrease in risk aversion, greater frequency of usage is associated with greater risk aversion. This analysis shows the limitations of a static perspective on how risk attitudes relate to participation in the sharing economy. Full article
(This article belongs to the Special Issue Online Social Networks and Behavior: A Game Theory Approach)
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