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Edge Betweenness Metric

Edge Betweenness plugin for Gephi. This plugin allows compute Edge Betweenness metric, which can be used in Social Network Analysis. Edge betweenness of an edge as the number of shortest paths between pairs of nodes that run along it.

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Link Communities

This Gephi plug-in implements the Link Communities algorithm proposed in the paper below. Yong-Yeol Ahn, James P. Bagrow & Sune Lehmann, Link communities reveal multiscale complexity in networks, Nature 466, 761–764 (05 August 2010) Paper The algorithm purpose is to reveal communities in undirected and unweigthed networks. It is an agglomerative method (like hierarchical clustering) [...]

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Weakly connected components using disjoint set

This is a copy of Gephi internal Connected Components statistics module, only using much faster algorithm to obtain weakly connected components. It was redirected here from a pull request (https://github.com/gephi/gephi/pull/747) due to lack of time for proper testing that would be required to integrate it into the main program.

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Weighted Cluster Coefficient

This plugin allows to calculate the Weighted Cluster Coefficient for every node and the average value. The weighted clustering capture more precisely the effective level of cohesiveness and affinity due to the interaction strength. Reference: A. Barrat and M. Barthelemy and R. Pastor-Satorras and A. Vespignani (2004). The architecture of complex weighted networks. Proceedings of [...]

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Social Network Analysis

This plugin allows compute metrics, which can be used in Social Network Analysis. This version contains: Erdös number - idea of "The Small-World Phenomenon". Can be visualized using Layered Layout Plugin Neighborhood Overlap and Embeddedness - identification of strong and weak ties, local bridges Clustering Coefficient

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Multimode Networks Transformations

This plugin allows multimode networks projection. For example: you can project your bipartite (2-mode) graph to monopartite (one-mode) graph. The projection/transformation is based on the matrix multiplication approach and allows different types of transformations. Not only bipartite graphs. The limitation is matrix multiplication - large matrix multiplication takes time and memory.

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