Mapping flows on sparse networks with missing links.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.102.012302
Abstract: Unreliable network data can cause community-detection methods to overfit and highlight spurious structures with misleading information about the organization and function of complex systems. Here we show how to detect significant flow-based communities in sparse… read more here.
Keywords: networks missing; map equation; sparse networks; missing links ... See more keywords
Indistinguishable Synapses Lead to Sparse Networks
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DOI: 10.1162/neco_a_01052
Abstract: Neurons integrate information from many neighbors when they process information. Inputs to a given neuron are thus indistinguishable from one another. Under the assumption that neurons maximize their information storage, indistinguishability is shown to place… read more here.
Keywords: information; indistinguishable synapses; lead sparse; sparse networks ... See more keywords
Community Detection in Sparse Networks Using the Symmetrized Laplacian Inverse Matrix (SLIM)
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DOI: 10.5705/ss.202020.0094
Abstract: There is increasing interest in the study of community detection for sparse networks. Here, we propose a new method for detecting communities in sparse networks that uses the symmetrized Laplacian inverse matrix (SLIM) to measure… read more here.
Keywords: detection sparse; laplacian inverse; symmetrized laplacian; community ... See more keywords