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TKDE
2012
190views Formal Methods» more  TKDE 2012»
12 years 7 days ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
WWW
2008
ACM
14 years 10 months ago
Statistical analysis of the social network and discussion threads in slashdot
We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents common features of traditional social networks such as a giant ...
Andreas Kaltenbrunner, Vicenç Gómez,...
ASUNAM
2011
IEEE
12 years 9 months ago
Evolutionary Clustering and Analysis of Bibliographic Networks
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizho...
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 8 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
ASUNAM
2010
IEEE
13 years 8 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti