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» Probabilistic models for discovering e-communities
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
13 years 11 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,...
WWW
2009
ACM
14 years 6 months ago
Discovering users' specific geo intention in web search
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...
Xing Yi, Hema Raghavan, Chris Leggetter
ICMI
2009
Springer
175views Biometrics» more  ICMI 2009»
13 years 3 months ago
Discovering group nonverbal conversational patterns with topics
This paper addresses the problem of discovering conversational group dynamics from nonverbal cues extracted from thin-slices of interaction. We first propose and analyze a novel t...
Dinesh Babu Jayagopi, Daniel Gatica-Perez
NLE
2011
12 years 8 months ago
Modeling reciprocity in social interactions with probabilistic latent space models
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...
Roxana Girju, Michael J. Paul
TCBB
2010
98views more  TCBB 2010»
13 years 2 days ago
VARUN: Discovering Extensible Motifs under Saturation Constraints
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
Alberto Apostolico, Matteo Comin, Laxmi Parida