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» Mining Periodic Behavior in Dynamic Social Networks
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ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
14 years 2 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 10 months ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
INFOCOM
1995
IEEE
13 years 12 months ago
Dynamic Behavior of Feedback Congestion Control Schemes
This paper examines the asymptotic behavior of solutions of a simple network model using feedback control under the presence of delays. It shows numerically the existence of compl...
Giampiero Pecelli, B. G. Kim
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
13 years 6 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 1 months ago
A viewpoint-based approach for interaction graph analysis
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
Sitaram Asur, Srinivasan Parthasarathy