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.
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Mancilla-Caceres, J.F., Amir, E., Espelage, D. (2013). Peer Nominations and Its Relation to Interactions in a Computer Game. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_5
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DOI: https://doi.org/10.1007/978-3-642-37210-0_5
Publisher Name: Springer, Berlin, Heidelberg
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