dorsal/arxiv
View SchemaDiscovering Functional Communities in Dynamical Networks
| Authors | Cosma Rohilla Shalizi, Marcelo F. Camperi, Kristina Lisa Klinkner |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0609008 |
| URL | https://arxiv.org/abs/q-bio/0609008 |
Abstract
Many networks are important because they are substrates for dynamical systems, and their pattern of functional connectivity can itself be dynamic -- they can functionally reorganize, even if their underlying anatomical structure remains fixed. However, the recent rapid progress in discovering the community structure of networks has overwhelmingly focused on that constant anatomical connectivity. In this paper, we lay out the problem of discovering_functional communities_, and describe an approach to doing so. This method combines recent work on measuring information sharing across stochastic networks with an existing and successful community-discovery algorithm for weighted networks. We illustrate it with an application to a large biophysical model of the transition from beta to gamma rhythms in the hippocampus.
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"date_created": "2026-03-02T18:01:35.335000Z",
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"abstract": "Many networks are important because they are substrates for dynamical\nsystems, and their pattern of functional connectivity can itself be dynamic --\nthey can functionally reorganize, even if their underlying anatomical structure\nremains fixed. However, the recent rapid progress in discovering the community\nstructure of networks has overwhelmingly focused on that constant anatomical\nconnectivity. In this paper, we lay out the problem of discovering_functional\ncommunities_, and describe an approach to doing so. This method combines recent\nwork on measuring information sharing across stochastic networks with an\nexisting and successful community-discovery algorithm for weighted networks. We\nillustrate it with an application to a large biophysical model of the\ntransition from beta to gamma rhythms in the hippocampus.",
"arxiv_id": "q-bio/0609008",
"authors": [
"Cosma Rohilla Shalizi",
"Marcelo F. Camperi",
"Kristina Lisa Klinkner"
],
"categories": [
"q-bio.NC",
"nlin.AO",
"physics.data-an",
"q-bio.QM"
],
"title": "Discovering Functional Communities in Dynamical Networks",
"url": "https://arxiv.org/abs/q-bio/0609008"
},
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