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» An Axiomatic Approach to Community Detection
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ASUNAM
2010
IEEE
13 years 11 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
12 years 2 days ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
WWW
2008
ACM
14 years 10 months ago
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social network...
Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, B...
HT
2006
ACM
14 years 3 months ago
A social hypertext model for finding community in blogs
Blogging has become the newest communication medium for creating a virtual community, a set of blogs linking back and forth to one another’s postings, while discussing common to...
Alvin Chin, Mark H. Chignell
ACL
2010
13 years 7 months ago
Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities
Quantifying the semantic relevance between questions and their candidate answers is essential to answer detection in social media corpora. In this paper, a deep belief network is ...
Baoxun Wang, Xiaolong Wang, Chengjie Sun, Bingquan...