Peer nominations and its relation to interactions in a computer game

Juan F. Mancilla-Caceres, Eyal Amir, Dorothy Espelage

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Peer nomination has been one of the main tools used by social scientists to study the structure of social networks. Traditionally, the nominations are collected by asking participants to select a fixed number of peers, which in turn are all considered for the analysis with the same strength. In this paper, we explore several different ways of measuring the popularity of peers by taking into consideration not only the nominations themselves but their order and total quantity in the context of a computer social game. Using these different metrics, we explore the relationship between the nominations and the players' interactions through text messages while playing the game. Although all five proposed metrics can be used to find popular individuals among peers, they allow scientists to measure different characteristics of the individuals as shown by the correlations found between popularity scores and interaction variables.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Proceedings
Pages38-47
Number of pages10
Volume7812 LNCS
DOIs
StatePublished - 2013
Event6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013 - Washington, DC, United States
Duration: Apr 2 2013Apr 5 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7812 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013
Country/TerritoryUnited States
CityWashington, DC
Period4/2/134/5/13

Keywords

  • Group interaction and collaboration
  • Influence process and recognition
  • Methodological innovation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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