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years. Community detection is the problem of finding closely related groups within a network. Modularity optimisation is a … widely accepted method for community detection. It has been shown that the modularity optimisation has a resolution limit …
Persistent link: https://www.econbiz.de/10011063680
such networks. Our method is based on optimizing the composite modularity, which is a new modularity proposed for …
Persistent link: https://www.econbiz.de/10011163282
locally optimizing modularity using individual ants. The basic version of MABA, namely SABA, combines a self-avoiding label … that mitigates the resolution limit of modularity. The proposed MABA has been evaluated on both computer …
Persistent link: https://www.econbiz.de/10010616243
A modularity-specialized label propagation algorithm (LPAm) for detecting network communities was recently proposed … are similar in total degree and thus it is prone to get stuck in poor local maxima in the modularity space. To escape … time. Combining LPAm and MSG, we propose an advanced modularity-specialized label propagation algorithm (LPAm …
Persistent link: https://www.econbiz.de/10010589719
agglomerative framework. The quality function of modularity is extended to evaluate the goodness of a cover. The examples of …
Persistent link: https://www.econbiz.de/10010590930
Various evolving approaches have been extensively applied to evolve densely connected communities in complex networks. However these techniques have been primarily single objective optimization techniques, which optimize only a specific feature of the network missing on other important features....
Persistent link: https://www.econbiz.de/10012042701
selection and modularity measure for community strength identification. Experimental results on synthetic network datasets show …
Persistent link: https://www.econbiz.de/10012047399
The organizational structure of a network is investigated with a simulated precipitation model which does not make use of prior knowledge about the community structure of the network. The result is presented as a structure profile through which various definitions of communities can be applied...
Persistent link: https://www.econbiz.de/10011059288
, a type of multi-resolution methods in community detection was introduced, which can adjust the resolution of modularity … by modifying the modularity function with tunable resolution parameters, such as those proposed by Arenas, Fernández and … the enhancement of the modularity resolution is obtained. The theoretical results indicated that the limitation depends on …
Persistent link: https://www.econbiz.de/10011059938
employs a metric, named modularity Q as the fitness function and applies a special locus-based adjacency encoding schema to …
Persistent link: https://www.econbiz.de/10008472628