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CSCW
2010
ACM
14 years 4 months ago
Same places, same things, same people?: mining user similarity on social media
In this work we examine nine different sources for user similarity as reflected by activity in social media applications. We suggest a classification of these sources into three c...
Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, E...
INFOCOM
2011
IEEE
12 years 11 months ago
Adaptive algorithms for detecting community structure in dynamic social networks
—Social networks exhibit a very special property: community structure. Understanding the network community structure is of great advantages. It not only provides helpful informat...
Nam P. Nguyen, Thang N. Dinh, Ying Xuan, My T. Tha...
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 8 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
SDM
2010
SIAM
115views Data Mining» more  SDM 2010»
13 years 9 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
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 5 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....