Dynamic communities and their detection

作者: András Bóta , Miklós Krész , András Pluhár

DOI: 10.14232/ACTACYB.20.1.2011.4

关键词:

摘要: Overlapping community detection has already become an interesting problem in data mining and also a useful technique applications. This underlines the importance of following lifetime communities real graphs. Palla et al. developed promising method, analyzed evolution on two large databases [23]. We have followed their footsteps analyzing real-world found, that framework they use to describe dynamics is insufficient for our data. The method used by dependent very special algorithm, clique percolation its monotonic nature. In this paper we propose extension basic events described [23] capable handling found nonmonotonic algorithm. report findings came from tests social

参考文章(21)
Erika Griechisch, András Pluhár, Community detection by using the extended modularity Acta Cybernetica. ,vol. 20, pp. 69- 85 ,(2011) , 10.14232/ACTACYB.20.1.2011.6
S. Milgram, The Small World Problem Psychology today. ,vol. 1, pp. 60- 67 ,(1967)
Vincent D. Blondel, Jean-Loup Guillaume, Etienne Lefebvre, Renaud Lambiotte, Fast unfolding of community hierarchies in large networks ,(2008)
Jussi M. Kumpula, Mikko Kivelä, Kimmo Kaski, Jari Saramäki, Sequential algorithm for fast clique percolation. Physical Review E. ,vol. 78, pp. 026109- ,(2008) , 10.1103/PHYSREVE.78.026109
Béla Bollobás, Modern graph theory ,(1998)
Mark Granovetter, Threshold Models of Collective Behavior American Journal of Sociology. ,vol. 83, pp. 1420- 1443 ,(1978) , 10.1086/226707
Gergely Palla, Albert-László Barabási, Tamás Vicsek, Quantifying social group evolution Nature. ,vol. 446, pp. 664- 667 ,(2007) , 10.1038/NATURE05670
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar, An event-based framework for characterizing the evolutionary behavior of interaction graphs ACM Transactions on Knowledge Discovery From Data. ,vol. 3, pp. 16- ,(2009) , 10.1145/1631162.1631164