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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Formation of Multiple Networks
verfasst von : Matteo Magnani, Luca Rossi
Erschienen in: Social Computing, Behavioral-Cultural Modeling and Prediction
Verlag: Springer Berlin Heidelberg
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While most research in Social Network Analysis has focused on single networks, the availability of complex on-line data about individuals and their mutual heterogenous connections has recently determined a renewed interest in multi-layer network analysis. To the best of our knowledge, in this paper we introduce the first network formation model for multiple networks. Network formation models are among the most popular tools in traditional network studies, because of both their practical and theoretical impact. However, existing models are not sufficient to describe the generation of multiple networks. Our model, motivated by an empirical analysis of real multi-layered network data, is a conservative extension of single-network models and emphasizes the additional level of complexity that we experience when we move from a single- to a more complete and realistic multi-network context.