Triangular clustering in document networks

Details Triangular clustering in document networks Triangular clustering in document networks

2008-07-14

arxiv.org/abs/0807.2113v4

New Journal of Physics 11 (2009) 033019

Physics

Physics and Society

10 pages, 3 figures, 2 tables

Scientific paper

10.1088/1367-2630/11/3/033019

Document networks are characteristic in 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 also strongly influenced by the semantic relation between content of the nodes. We observe that document networks have a large number of triangles and a high value of clustering coefficient. And 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 which 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.

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