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Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In a...
Abstract: We investigate several geometric models of network which simultaneously have some nice global properties, that the small diameter property, the small-community phenomenon, which is defined t...
In recent years, community structure has emerged as a key component of complex network analysis. As more data has been collected, researchers have begun investigating changing community structure acro...
We present an approach to studying the community structures of networks by using linear programming (LP). Starting with a network in terms of (a) a collection of nodes and (b) a collection of edges co...
The immigration dynamics of infectives is sometimes an imprescindable modelling feature to fully understand and explain the diffusion of important infections. The inclusion of the dynamics of individu...
The Department Math and Computer Science at Lansing Community College offers courses in mathematics, computer science and statistics, both for transfer to four-year institutions and in service to othe...
We investigate the reliability of a recent approach to use parameterized linear programming for detecting community structures in networks. Using a one-parameter family of objective functions, a numbe...

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