Sciweavers

80 search results - page 3 / 16
» Community Detection in Networks: The Leader-Follower Algorit...
Sort
View
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
13 years 2 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto
SDM
2010
SIAM
166views Data Mining» more  SDM 2010»
13 years 5 months ago
Directed Network Community Detection: A Popularity and Productivity Link Model
In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
AAAI
2012
11 years 10 months ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach
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
TKDE
2012
250views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Dense Subgraph Extraction with Application to Community Detection
— This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
Jie Chen 0007, Yousef Saad