Abstract
Network motifs - small subgraphs that reflect local topology can be used to discover general profile and properties of the network. Analysis of motifs for the large social networks derived from email communication is presented in the paper. The distribution of motifs in all analyzed real social networks is very similar one another and can be treated as the network fingerprint. This property is most distinctive for stronger human relationships. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Juszczyszyn, K., Kazienko, P., & Musiał, K. (2008). Local topology of social network based on motif analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5178 LNAI, pp. 97–105). Springer Verlag. https://doi.org/10.1007/978-3-540-85565-1_13
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