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Detecting degree symmetries in networks
2006 (English)In: Physical Review E, ISSN 1539-3755, Vol. 74, no 3Article in journal (Refereed) Published
Abstract [en]

The surrounding of a vertex in a network can be more or less symmetric. We derive measures of a specific kind of symmetry of a vertex which we call degree symmetry-the property that many paths going out from a vertex have overlapping degree sequences. These measures are evaluated on artificial and real networks. Specifically we consider vertices in the human metabolic network. We also measure the average degree-symmetry coefficient for different classes of real-world network. We find that most studied examples are weakly positively degree symmetric. The exceptions are an airport network (having a negative degree-symmetry coefficient) and one-mode projections of social affiliation networks that are rather strongly degree symmetric.

Place, publisher, year, edition, pages
2006. Vol. 74, no 3
Keyword [en]
metabolic networks, complex networks, food-web, similarity
Identifiers
URN: urn:nbn:se:kth:diva-16016DOI: 10.1103/PhysRevE.74.036107ISI: 000240870300023OAI: oai:DiVA.org:kth-16016DiVA: diva2:334058
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05Bibliographically approved

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CiteExportLink to record
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  • apa
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