Uncovering hierarchical community structure in a synthetic graph.

Uncovering hierarchical community structure in a synthetic graph.

<p><i>(A)</i> Graphs can display heterogeneity in hierarchical community structure. To gain intuition regarding the utility of our method for characterizing these sorts of graphs, we design a synthetic graph such that each node is part of a small cluster composed of 3 nodes, a medi...

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Bibliographic Details
Main Author: Arian Ashourvan (6685232) (author)
Other Authors: Qawi K. Telesford (3161730) (author), Timothy Verstynen (303622) (author), Jean M. Vettel (268275) (author), Danielle S. Bassett (215337) (author)
Published: 2019
Subjects:
Molecular Biology
Cancer
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
community organization
modeling multimodal neuroimaging data
community architecture
community detection technique
multi-scale community detection algorithm
topological scales
community detection algorithms
brain networks Community detection algorithms
multimodal multiplex graph
multi-scale community detection algorithm links
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