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Triangular clustering in document networks

Cheng, XQ; Ren, FX; Zhou, S; Hu, MB; (2009) Triangular clustering in document networks. NEW J PHYS , 11 , Article 033019. 10.1088/1367-2630/11/3/033019. Green open access

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Abstract

Document networks have the characteristic that a document node, e. g. a webpage or an article, carries meaningful content. Properties of document networks are not only affected by topological connectivity between nodes, but are also strongly influenced by the semantic relation between the content of the nodes. We observed that document networks have a large number of triangles and a high value clustering coefficient. Also there is a strong correlation between the probability of formation of a triangle and the content similarity among the three nodes involved. We propose the degree-similarity product (DSP) model, which well reproduces these properties. The model achieves this by using a preferential attachment mechanism that favours the linkage between nodes that are both popular and similar. This work is a step forward towards a better understanding of the structure and evolution of document networks.

Type: Article
Title: Triangular clustering in document networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1367-2630/11/3/033019
Publisher version: http://dx.doi.org/10.1088/1367-2630/11/3/033019
Language: English
Additional information: © IOP Publishing Ltd and Deutsche Physikalische Gesellschaft
Keywords: Complex Networks, Web
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/112826
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