Bimodularity Adds Direction to Social and Neural Network Maps
Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.
Unlike traditional methods that only cluster nodes, this approach groups edges, making it possible to distinguish senders from receivers and uncover bicommunities.
Applied to traffic flow, social networks, or even brain activity, it reveals both who belongs together and how information moves.
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Marcio Pacheco
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Bimodularity Adds Direction to Social and Neural Network Maps
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