Abstract
We begin with a graph (or a directed graph), a single set of nodes \(\mathcal{N}\), and a set of lines or arcs \(\mathcal{L}\). It is common to use this mathematical concept to represent a network. We use the notation of [1], especially Chapters 13 and 15. There are extensions of these ideas to a wide range of networks, including multiple relations, affiliation relations, valued relations, and social influence and selection situations (in which information on attributes of the nodes is available), all of which can be found in the chapters of [2].
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Wasserman, S., Robins, G., Steinley, D. (2007). Statistical Models for Networks: A Brief Review of Some Recent Research. In: Airoldi, E., Blei, D.M., Fienberg, S.E., Goldenberg, A., Xing, E.P., Zheng, A.X. (eds) Statistical Network Analysis: Models, Issues, and New Directions. ICML 2006. Lecture Notes in Computer Science, vol 4503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73133-7_4
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DOI: https://doi.org/10.1007/978-3-540-73133-7_4
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