Summary: The ModuLand method-family
Advances of analytical methods and computation in the last decade helped to assemble enormous data sets on a large variety of complex systems from cells to society requiring the network approach for their analysis and description. A focal point of network studies is the determination of their communities or modules, which help the functional organization and evolution of networks. Here we introduce ModuLand, an integrative, novel method-family, which determines the overlapping network modules as hills of a community landscape. The ModuLand method-family includes several widely used modularization methods as special cases and contains a number of entirely novel approaches. Our studies on word-association, school-friendship, electric power-grid and protein interaction networks show that the novel sub-methods of the ModuLand method-family are fast tools for the analysis of weighted and directed networks, which
(1) determine overlapping modules with a high resolution;
(2) uncover a hierarchical network structure in previously unprecedented details allowing a fast, zoom-in analysis of large networks;
(3) allow the determination of key network elements and
(4) help to predict network dynamics.
The ModuLand method-family opens a wide range of possibilities to develop further new methods and applications including the identification, comparison and prediction of target elements of ecosystems, cellular, social and technical networks for focused protection, intervention and development.
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