GED: the method for group evolution discovery in social networks
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Agarwal N, Galan M, Liu H, Subramanya S (2010) WisColl: collective Wisdom based Blog Clustering. Inf Sci 180(1):39–61
Amaral LAN, Scala A, Barthelemy M, Stanley HE (2000) Classes of small-world networks. Proc Natl Acad Sci USA 97:11149–11152
Asur S, Parthasarathy S, Ucar D (2007) An event-based framework for characterizing the evolutionary behavior of interaction graphs. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining (KDD ‘07). ACM, New York, NY, USA, pp 913–921
Barrat A, Barthelemy M, Vespignani A (2008) Dynamical processes on complex networks. Cambridge University Press, UK
Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large network. J Stat Mech Theory Exp P10008
Bródka P, Musial K, Kazienko P (2009) A performance of centrality calculation in social networks. In: Proceedings of the 2009 international conference on computational aspects of social networks (CASON ‘09). IEEE Computer Society, Washington, DC, USA, pp 24–31
Bródka P, Saganowski S, Kazienko P (2011) Group evolution discovery in social networks. In: ASONAM 2011, the 2011 international conference on advances in social network analysis and mining, Kaohsiung, Taiwan, 25–27 July 2011, IEEE Computer Society, pp 247–253
Bródka P, Saganowski P, Kazienko P (2011) Tracking group evolution in social networks. SocInfo ‘11, The third international conference on social informatics, 6–8 October 2011, Singapore, Lecture Notes in Artificial Intelligence LNAI, Springer, pp 316–319
Cattell V (2001) Poor people, poor places, and poor health: the mediating role of social networks and social capital. Soc Sci Med 52(10):1501–1516
Chakrabarti D, Kumar R, Tomkins A (2006) Evolutionary clustering. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining KDD ‘06, Philadelphia, Pennsylvania, USA
Cheng X, Dale C, Liu J (2008) Statistics and social networking of ‘YouTube videos’. In: Proceedings of the 16th international workshop on quality of service, IEEE, pp 229–238
Coleman JS (1964) An introduction to mathematical sociology. Collier-Macmillan, London
Ellison NB, Steinfield C, Lampe C (2007) The benefits of Facebook “friends”: social capital and college students’ use of online social network sites. J Comput Mediat Commun 12(4):article 1. http://jcmc.indiana.edu/vol12/issue4/ellison.html
Freeman LC (2004) The development of social network analysis: a study in the sociology of science. BookSurge Publishing
Garton L, Haythorntwaite C, Wellman B (1997) Studying online social networks. J Comput Mediat Commun 3(1):75–105. http://jcmc.indiana.edu/vol3/issue1/garton.html
Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proc Natl Acad Sci USA 99(12):7821–7826
Golbeck J, Hendler J (2006) FilmTrust: movie recommendations using trust in web-based social networks. In: Proceedings of consumer communications and networking conference, IEEE conference proceedings, vol 1, pp 282–286
Hanneman R, Riddle M (2005) Introduction to social network methods, online textbook. University of California, Riverside, CA. http://faculty.ucr.edu/~hanneman/nettext/
Hopcroft J, Khan O, Kulis B, Selman B (2004) Tracking evolving communities in large linked networks. Proc Natl Acad Sci PNAS USA 101:5249
Huberman B, Romero D, Wu F (2009) Social networks that matter: Twitter under the microscope. First Monday, pp 1–5 (arXiv:0812.1045v1)
Kazienko P, Ruta D, Bródka P (2009a) The impact of customer churn on social value dynamics. Int J Virtual Communities Soc Netw 1(3):60–72
Kazienko P, Musiał K, Zgrzywa A (2009b) Evaluation of node position based on email communication. Control Cybern 38(1):67–86
Kazienko P, Musial K, Kajdanowicz T (2011) Multidimensional social network and its application to the social recommender system. IEEE Trans Syst Man and Cybern Part A Syst Hum 41(4):746–759
Kim MS, Han J (2009) A particle and density based evolutionary clustering method for dynamic networks. In: Proceedings of 2009 international conferance on very large data bases, Lyon, France
Kottak CP (2004) Mirror for humanity: a concise introduction to cultural anthropology, McGraw-Hill, New York, USA
Lazega E (2001) The collegial phenomenon. The social mechanism of co-operation among peers in a corporate law partnership. Oxford University Press, Oxford
Lin YR, Chi Y, Zhu S, Sundaram H, Tseng BL (2008) Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. In: Proceeding of the 17th international conference on World Wide Web, April 21–25, Beijing, China
Montgomery J (1991) Social networks and labor-market outcomes: toward an economic analysis, American Economic Review 81, vol 5, pp 1407–1418
Moody J, White DR (2003) Structural cohesion and embeddedness: a hierarchical concept of social groups. Am Sociol Rev 68(1):103–127
Musial K, Kazienko P, Bródka P (2009) User position measures in social networks. In: Proceedings of the 3rd workshop on social network mining and analysis (SNA-KDD ‘09). ACM, New York, NY, USA, Article 6
Newman MEJ (2001) The structure of scientific collaboration networks. Proc Natl Acad Sci USA 98:404–409
Pagel M, Erdly W, Becker J (1987) Social networks: we get by with (and in spite of) a little help from our friends. J Pers Soc Psychol 53(4):793–804
Palla G, Derényi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435:814–818
Robins GL, Alexander M (2004) Small worlds among interlocking directors: network structure and distance in bipartite graphs. Comput Math Organ Theory 10(1):69–94
Scott J (2000) Social network analysis: a handbook. SAGE, London
Sun J, Papadimitriou S, Yu PS, Faloutsos C, GraphScope (2007) Parameter-free mining of large time-evolving graphs. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining (KDD ‘07). ACM, New York, NY, USA, pp 687–696
Traud AL, Kelsic ED, Mucha PJ, Porter MA (2009) Community structure in online collegiate social networks. eprint arXiv:0809.0690
Tyler JR, Wilkinson DM, Huberman BA (2003) Email as spectroscopy: automated discovery of community structure within organizations. In: Communities and technologies. Kluwer, Deventer, pp 81–96
Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, New York