The authors present the concept of a "probability neighborhood clique" intended to substantiate the idea of a "community", i.e. of a dense subregion within a (simple) network. For that purpose the notion of a clique is generalized in a probabilistic way. The probability neighborhoods employed for that purpose are indexed by one or two tuning parameters to bring out the "degree of denseness" respectively a hierarchy within that community. The paper, moreover, reviews other degree based concepts of communities and addresses algorithmic aspects. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Baumgart, A., & Müller-Funk, U. (2012). Analysis of network data based on probability neighborhood cliques. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 215–223). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-24466-7_22
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