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GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 3 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
ASUNAM
2010
IEEE
13 years 3 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
ADHOCNETS
2009
Springer
13 years 9 months ago
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Sevil Sen, John A. Clark, Juan E. Tapiador
ASUNAM
2010
IEEE
13 years 6 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
ICTAI
2009
IEEE
13 years 11 months ago
A Multi-objective Genetic Algorithm for Community Detection in Networks
A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connecte...
Clara Pizzuti