modularity

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A paper titled "Asymptotic resolution bounds of generalized modularity and statistically significant community detection," by Xiaoyan Lu and Boleslaw K. Szymanski has been posted on arxiv

Feb. 17, 2019: The paper generalizes inference algorithms to search not only for assortative communities but also for disassortative clustering. The maximization of generalized modularity performs well on networks in which the members of all communities are statistically indistinguishable from each other. (more)

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Springer journal Applied Network Science is inviting contributions to a new article collection on community structures in network co-edited by Prof. Boleslaw K. Szymanski

Aug. 16, 2018: A new article collection dedicated to the cutting edge research advances on community structures in networks is being organized by Applied Network Science, Springer journal. The goal is to provide a landscape of research progress and applications in related areas of science and engineering. (more)

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Prof. Boleslaw Szymanski presented a talk on "Algorithms for Robust Community Detection" at the University of Houston Department of Physics, March 3, 2017

Mar. 03, 2017: The talk describes two robust algorithms for community detection. The first targets communities arising in biological functions carried out by groups of interacting molecules, cells or tissues. These communities may overlap when biological components are involved in multiple functions. (more)