Evolutionary clustering and analysis of bibliographic networks

Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Volumn , Issue , 2011, Pages 63-70

  Gupta, Manish ^a   Aggarwal, Charu C ^b   Han, Jiawei ^a   Sun, Yizhou ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACROSS TIME; BIBLIOGRAPHIC INFORMATION NETWORKS; CLUSTERING METHODS; CLUSTERING PROCESS; EVOLUTION PROCESS; EVOLUTIONARY CLUSTERING; HETEROGENEOUS INFORMATION; HETEROGENEOUS METHOD; INTEGRATED METHOD;

EVOLUTIONARY ALGORITHMS; HETEROGENEOUS NETWORKS; INFORMATION SERVICES; SOCIAL NETWORKING (ONLINE);

CLUSTERING ALGORITHMS;

EID: 80052731815     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2011.12     Document Type: Conference Paper

References (16)

1. S. Asur, S. Parthasarathy, and D. Ucar. An event-based framework for characterizing the evolutionary behavior of interaction graphs. KDD '07
2. L. Backstrom, D. Huttenlocher, J. Kleinberg, and X. Lan. Group formation in large social networks: membership, growth, and evolution.KDD '06
3. R. Bekkerman, R. El-Yaniv, and A. McCallum. Multi-way distributional clustering via pairwise interactions. ICML '05
4. D. Chakrabarti, R. Kumar, and A. Tomkins. Evolutionary clustering. KDD '06
5. Y. Chi, X. Song, D. Zhou, K. Hino, and B. Tseng. Evolutionary spectral clustering by incorporating temporal smoothness. KDD '07
6. M. Kim and J. Han. A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks. VLDB 2009
7. R. Kumar, J. Novak, and A. Tomkins. Structure and evolution of online social networks. KDD '06
8. J. Leskovec, L. Backstrom, R. Kumar, and A. Tomkins. Microscopic evolution of social networks. KDD '08
9. J. Leskovec, J. Kleinberg, and C. Faloutsos. Graphs over time: densification laws, shrinking diameters and possible explanations. KDD '05
10. Y. Lin, Y. Chi, S. Zhu, H. Sundaram, and B. Tseng. Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. WWW '08
11. B. Long, Z. Zhang, X. Wú, and P. Yu. Spectral clustering for multi-type relational data. ICML '06
12. Q. Mei and C. Zhai. Discovering evolutionary theme patterns from text: an exploration of temporal text mining. KDD '05
13. J. Sun, C. Faloutsos, S. Papadimitriou, and P. Yu. Graphscope: parameter-free mining of large time-evolving graphs. KDD '07
14. Y. Sun, J. Han, P. Zhao, Z. Yin, H. Cheng, and T. Wu. Rankclus: integrating clustering with ranking for heterogeneous information network analysis. EDBT '09
15. Y. Sun, Y. Yu, and J. Han. Ranking-based clustering of heterogeneous information networks with star network schema. KDD '09
16. L. Tang, H. Liu, J. Zhang, and Z. Nazeri. Community evolution in dynamic multi-mode networks. KDD '08