Large-scale community detection based on node membership grade and sub-communities integration

Node Failure Detection and Membership in CANELy

Fault-tolerant distributed systems based on fieldbuses may benefit to a great extent from the availability of semantically rich communication services, such as those provided by group communication, clock synchronization, membership and failure detection. This is specially true of distributed critical control applications. However, the migration of those services to the realm of simple fieldbus...

Application of a Community Membership Life Cycle Model on Tag-Based Communities in Twitter

Social networks are the backbone of Web 2.0. More than 500 million users are part of social networks like Twitter, Facebook, discussion boards or other virtual online communities. In this work we report on a first empirical study of the conceptional community membership life-cycle model of (Sonnenbichler, A Community Membership Life Cycle Model, Sunbelt XIX International Social Network Conferen...

Critical Node Detection in Large Scale Mobile Ad hoc Networks

Reliability calculation of large scale MANETs is an NP computational problem, and this complexity can be reduced by identifying critical nodes in a network. The identification of critical nodes itself is a computationally hard problem. The present work provides an empirical Algorithm for detecting critical nodes in a MANET which is computationally efficient than the already existing detection m...

Community Detection Algorithm of the Large-Scale Complex Networks Based on Random Walk

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...