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SDM
2008
SIAM
164views Data Mining» more  SDM 2008»
13 years 11 months ago
Randomizing Social Networks: a Spectrum Preserving Approach
Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. The nodes in the network are the individuals and...
Xiaowei Ying, Xintao Wu
CISS
2008
IEEE
13 years 10 months ago
Detection of anomalous meetings in a social network
Abstract-- When monitoring interactions within a social network, meetings or contacts between different members of the network are recorded. This paper addresses the problem of usi...
Jorge Silva, Rebecca Willett

Publication
203views
13 years 10 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
JOI
2010
130views more  JOI 2010»
13 years 8 months ago
Diffusion of latent semantic analysis as a research tool: A social network analysis approach
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
Yasar Tonta, Hamid R. Darvish
IMC
2010
ACM
13 years 7 months ago
Understanding latent interactions in online social networks
Popular online social networks (OSNs) like Facebook and Twitter are changing the way users communicate and interact with the Internet. A deep understanding of user interactions in...
Jing Jiang, Christo Wilson, Xiao Wang, Peng Huang,...