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ISDA
2010
IEEE
13 years 5 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
FCSC
2007
130views more  FCSC 2007»
13 years 7 months ago
An improved algorithm for finding community structure in networks with an application to IPv6 backbone network
The discovery of community structure in a large number of complex networks has attracted lots of interest in recent years. One category of algorithms for detecting community struct...
Yingxin Guo, Ke Xu
ICWN
2010
13 years 5 months ago
Detecting and Labelling Wireless Community Network Structures from Eigen-spectra
Wireless and ad hoc networks often have local regions of highly intra-connected modules or communities of nodes against a backdrop of sparser longer-range intercommunity connectiv...
Ken A. Hawick
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 6 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
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
11 years 10 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...