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Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99:7821–7826
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Lancichinetti A, Fortunato S, Kertesz J (2009) Detecting the overlapping and hierarchical community structure in complex networks. N J Phys 11:033015
MacQueen JB (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of fifth Berkeley symposium on mathematical statistics and probability, vol 1. University of California Press, Berkeley, pp 281–297
Newman MEJ (2004) Fast algorithm for detecting community structure in networks. Phys Rev E 69(6):066133
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Palla G, Dernyi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043):814–818
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Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci 105: 1118–1123
Shalizi CR, Camperi MF, Klinkner KL (2007) Discovering functional communities in dynamical networks. In: Statistical network analysis: models, issues, and new directions. Springer, Berlin, pp 140–157
Tantipathananandh C, Berger-Wolf TY (2009) Algorithms for identifying dynamic communities. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, Paris. ACM, New York
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Sharara, H., Getoor, L. (2017). Group Detection. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_355
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