The emergence of inclusive and exclusive virtual communities determined by the preferences of their users

  • Debora Di Caprio
  • Francisco J. Santos-Arteaga
  • Madjid Tavana
Original Research
  • 102 Downloads

Abstract

Consider the decision faced by the user of a social network site (SNS) regarding whether or not to accept a friendship request from another user. The user making such a decision is constrained by the limited amount of information available about the requester. Therefore, the decision must be based on incomplete information about the main characteristics and preferences describing the requester. We formalize this decision problem by defining the expected utility tradeoffs derived from the request and simulate the resulting acceptance and rejection incentives numerically. These incentives provide the basis on which to build inclusive and exclusive social networks determined by the different expectations and preferences of their users. Social networks are generated using a self-organizing map to cluster the decision makers (DMs) by their friendship acceptance behavior. We analyze the effects on the cluster structure of the resulting social network that follow from modifying the distribution of requesters relative to the preferences of the DMs, the disutility derived from accepting the friendship of an unwanted requester, the costs incurred when searching for potential friends to expand the network of connections, and the minimum networking capacities of the friendship requesters demanded by the DMs.

Keywords

Virtual communities Expected utility Preference similarity Self-organizing map Social networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Debora Di Caprio
    • 1
    • 2
  • Francisco J. Santos-Arteaga
    • 3
    • 4
  • Madjid Tavana
    • 5
    • 6
  1. 1.Department of Mathematics and StatisticsYork UniversityTorontoCanada
  2. 2.Polo Tecnologico IISS G. GalileiBolzanoItaly
  3. 3.School of Economics and ManagementFree University of BolzanoBolzanoItaly
  4. 4.Instituto Complutense de Estudios InternacionalesUniversidad Complutense de MadridMadridSpain
  5. 5.Business Systems and Analytics Department, Distinguished Chair of Business Systems and AnalyticsLa Salle UniversityPhiladelphiaUSA
  6. 6.Business Information Systems Department, Faculty of Business Administration and EconomicsUniversity of PaderbornPaderbornGermany

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