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ISWC
2003
IEEE
14 years 23 days ago
Sensing and Modeling Human Networks using the Sociometer
Knowledge of how people interact is important in many disciplines, e.g. organizational behavior, social network analysis, information diffusion and knowledge management applicatio...
Tanzeem Choudhury, Alex Pentland
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...
CSE
2009
IEEE
14 years 2 months ago
Inferring the Maximum Likelihood Hierarchy in Social Networks
—Individuals in social networks are often organized under some hierarchy such as a command structure. In many cases, when this structure is unknown, there is a need to discover h...
Arun S. Maiya, Tanya Y. Berger-Wolf
PSYCHNOLOGY
2008
156views more  PSYCHNOLOGY 2008»
13 years 7 months ago
SIM: A dynamic multidimensional visualization method for social networks
Visualization plays an important role in social networks analysis to explore and investigate individual and groups behaviours. Therefore, different approaches have been proposed f...
Maria Chiara Caschera, Fernando Ferri, Patrizia Gr...
EPIA
2009
Springer
14 years 2 months ago
An Algorithm to Discover the k-Clique Cover in Networks
Abstract. In social network analysis, a k-clique is a relaxed clique, i.e., a kclique is a quasi-complete sub-graph. A k-clique in a graph is a sub-graph where the distance between...
Luís Cavique, Armando B. Mendes, Jorge M. A...