A Cooperative Game Theory-Based Algorithm for Overlapping Community Detection

Overlapping Community Detection in Social Networks Based on Stochastic Simulation

Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...

Transmission cost allocation based on cooperative game theory

A link clustering based overlapping community detection algorithm

Available online 14 May 2013 There is a surge of community detection study on complex network analysis in recent years, since communities often play important roles in network systems. However, many real networks have more complex overlapping community structures. This paper proposes a novel algorithm to discover overlapping communities. Different from conventional algorithms based on node clus...

Cooperative aggregate production planning: a game theory approach

Production costs in general, and workforce and inventory costs in particular, constitute a large fraction of the operating costs of many manufacturing plants. We introduce cooperative aggregate production planning as a way to decrease these costs. That is, when production planning of two or more facilities (plants) is integrated, they can interchange workforce and products inventory; thus, thei...

leukemia classification based on cooperative game theory and shapley value

objective: to classify different types of acute leukemia based on cooperative game theory and shapley value. materials and methods: in this study, patients data were collected from flow cytometry tests of the iran blood transfusion organization (ibto) have been used. 304 different diagnosed samples in 8 classes of acute leukemia were investigated. samples were initially in numerical format. i...