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ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
13 years 10 months ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
SOCIALCOM
2010
13 years 2 months ago
Finding Overlapping Communities in Social Networks
Increasingly, methods to identify community structure in networks have been proposed which allow groups to overlap. These methods have taken a variety of forms, resulting in a lack...
Mark K. Goldberg, Stephen Kelley, Malik Magdon-Ism...
ICDE
2010
IEEE
240views Database» more  ICDE 2010»
13 years 9 months ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
BMCBI
2010
176views more  BMCBI 2010»
13 years 4 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
AIRWEB
2007
Springer
13 years 10 months ago
Splog Detection Using Self-similarity Analysis on Blog Temporal Dynamics
This paper focuses on spam blog (splog) detection. Blogs are highly popular, new media social communication mechanisms. The presence of splogs degrades blog search results as well...
Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun'ichi Tatemu...