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» Introduction to social network analysis
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TKDE
2008
125views more  TKDE 2008»
14 years 9 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
COLING
2002
14 years 9 months ago
Data-driven Classification of Linguistic Styles in Spoken Dialogues
Language users have individual linguistic styles. A spoken dialogue system may benefit from adapting to the linguistic style of a user in input analysis and output generation. To ...
Thomas Portele
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
15 years 9 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
CSUR
1999
159views more  CSUR 1999»
14 years 9 months ago
Hubs, authorities, and communities
The Web can be naturally modeled as a directed graph, consisting of a set of abstract nodes (the pages) joined by directional edges (the hyperlinks). Hyperlinks encode a considerab...
Jon M. Kleinberg
CHI
2010
ACM
15 years 4 months ago
Blogging in a region of conflict: supporting transition to recovery
The blogosphere is changing how people experience war and conflict. We conducted an analysis of 125 blogs written by Iraqi citizens experiencing extreme disruption in their countr...
Ban Al-Ani, Gloria Mark, Bryan Semaan