dorsal/arxiv
View SchemaAnalysis of the structure of complex networks at different resolution levels
| Authors | Alex Arenas, Alberto Fernandez, Sergio Gomez |
|---|---|
| Categories | |
| ArXiv ID | physics/0703218 |
| URL | https://arxiv.org/abs/physics/0703218 |
| DOI | 10.1088/1367-2630/10/5/053039 |
| Journal | New J. Phys. 10 (2008) 053039 |
Abstract
Modular structure is ubiquitous in real-world complex networks, and its detection is important because it gives insights in the structure-functionality Modular structure is ubiquitous in real-world complex networks, and its detection is important because it gives insights in the structure-functionality relationship. The standard approach is based on the optimization of a quality function, modularity, which is a relative quality measure for a partition of a network into modules. Recently some authors [1,2] have pointed out that the optimization of modularity has a fundamental drawback: the existence of a resolution limit beyond which no modular structure can be detected even though these modules might have own entity. The reason is that several topological descriptions of the network coexist at different scales, which is, in general, a fingerprint of complex systems. Here we propose a method that allows for multiple resolution screening of the modular structure. The method has been validated using synthetic networks, discovering the predefined structures at all scales. Its application to two real social networks allows to find the exact splits reported in the literature, as well as the substructure beyond the actual split.
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"abstract": "Modular structure is ubiquitous in real-world complex networks, and its\ndetection is important because it gives insights in the structure-functionality\nModular structure is ubiquitous in real-world complex networks, and its\ndetection is important because it gives insights in the structure-functionality\nrelationship. The standard approach is based on the optimization of a quality\nfunction, modularity, which is a relative quality measure for a partition of a\nnetwork into modules. Recently some authors [1,2] have pointed out that the\noptimization of modularity has a fundamental drawback: the existence of a\nresolution limit beyond which no modular structure can be detected even though\nthese modules might have own entity. The reason is that several topological\ndescriptions of the network coexist at different scales, which is, in general,\na fingerprint of complex systems. Here we propose a method that allows for\nmultiple resolution screening of the modular structure. The method has been\nvalidated using synthetic networks, discovering the predefined structures at\nall scales. Its application to two real social networks allows to find the\nexact splits reported in the literature, as well as the substructure beyond the\nactual split.",
"arxiv_id": "physics/0703218",
"authors": [
"Alex Arenas",
"Alberto Fernandez",
"Sergio Gomez"
],
"categories": [
"physics.data-an",
"cond-mat.other",
"cs.DM",
"physics.soc-ph",
"q-bio.QM"
],
"doi": "10.1088/1367-2630/10/5/053039",
"journal_ref": "New J. Phys. 10 (2008) 053039",
"title": "Analysis of the structure of complex networks at different resolution levels",
"url": "https://arxiv.org/abs/physics/0703218"
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