Abstract
Local exceptionality detection on social interaction networks includes the analysis of resources created by humans (e. g., social media) as well as those generated by sensor devices in the context of (complex) interactions. This paper provides a structured overview on a line of work comprising a set of papers that focus on data-driven exploration and modeling in the context of social network analysis, community detection and pattern mining.
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CITATION STYLE
Atzmueller, M. (2016). Local exceptionality detection on social interaction networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9853 LNCS, pp. 298–302). Springer Verlag. https://doi.org/10.1007/978-3-319-46131-1_39
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