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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
14 years 1 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
HICSS
2008
IEEE
137views Biometrics» more  HICSS 2008»
14 years 1 months ago
Social Network Structure as a Critical Success Condition for Virtual Communities
Virtual communities have become an important new organizational form and yet relatively little is known about the conditions which lead to their success. In an attempt to address ...
David Hinds, Ronald M. Lee
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 8 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
CSE
2009
IEEE
13 years 11 months ago
Analyzing Enterprise Social Media Networks
Broadening adoption of social media applications within the enterprise offers a new and valuable data source for insight into the social structure of organizations. Social media ap...
Marc A. Smith, Derek L. Hansen, Eric Gleave
CSCW
2002
ACM
13 years 7 months ago
NetWORKers and their Activity in Intensional Networks
Through ethnographic research, we document the rise of personal social networks in the workplace, which we call intensional networks. Paradoxically, we find that the most fundament...
Bonnie A. Nardi, Steve Whittaker, Heinrich Schwarz