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» Mining Diversity on Networks
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WWW
2008
ACM
16 years 7 months ago
Yes, there is a correlation: - from social networks to personal behavior on the web
Characterizing the relationship that exists between a person's social group and his/her personal behavior has been a long standing goal of social network analysts. In this pa...
Parag Singla, Matthew Richardson
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 7 months ago
Group formation in large social networks: membership, growth, and evolution
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kle...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 1 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
ICDM
2010
IEEE
212views Data Mining» more  ICDM 2010»
15 years 4 months ago
Modeling Information Diffusion in Implicit Networks
Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffu...
Jaewon Yang, Jure Leskovec
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 7 months ago
Cost-effective outbreak detection in networks
Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing important stories? These seemingl...
Andreas Krause, Carlos Guestrin, Christos Faloutso...