Girvan-Newman Algorithm for Community Detection. Under the Girvan-Newman algorithm, the communities in a graph are discovered by iteratively removing the edges of the graph, based on the edge betweenness centrality value. The edge with the highest edge betweenness is removed first.
Feb 23, 2024
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Feb 15, 2023 · There exists a wide variety of approaches to detect communities in networks, each offering different interpretations and associated algorithms.
Jan 29, 2021 · Community detection techniques are useful for social media algorithms to discover people with common interests and keep them tightly connected.
Jul 22, 2014 · In this article, we perform an extensive empirical review of state-of-the-art community detection algorithms, focusing on their performance in large-scale real ...
Feb 19, 2021 · I have a relatively large graph, 400.000 nodes, 180.000.000 edges and are looking for software that could detect communities in it.
Jun 7, 2014 · I have a very large directed graph (a social network graph) with about 8 million nodes. I would like to run a community detection algorithm on the same.
Community detection algorithms identify groups or communities within complex networks. They aim to partition a network into subgroups of nodes that are more ...
Dec 20, 2016 · I'm trying to do is use this information with community detection algorithms to see if I can identify how cities are clustered together without using any kind ...
This chapter recognizes the importance of communities and their detection in real networks. It discusses several methods for detecting network community ...
Sep 5, 2017 · This post discusses two possible igraph community functions that allow you to set a specific number of communities.