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» Data mining for social network analysis
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SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
14 years 11 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, ...
88
Voted
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
14 years 10 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
15 years 10 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
SDM
2010
SIAM
115views Data Mining» more  SDM 2010»
14 years 11 months ago
Reconstructing Randomized Social Networks
In social networks, nodes correspond to entities and edges to links between them. In most of the cases, nodes are also associated with a set of features. Noise, missing values or ...
Niko Vuokko, Evimaria Terzi
ASUNAM
2011
IEEE
13 years 9 months ago
Predicting Network Response Times Using Social Information
—Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are us...
Chen Liang, Sharath Hiremagalore, Angelos Stavrou,...