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SUMMARY:Triangular clustering in document networks - Shi Zhou (UCL)
DTSTART:20091015T150000Z
DTEND:20091015T160000Z
UID:TALK18734@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Document networks have the characteristic that a document \nno
 de\, e.g. a webpage or an article\, carries meaningful content. \nProperti
 es of document networks are not only affected by topological \nconnectivit
 y between nodes\, but are also strongly influenced by the \nsemantic relat
 ion between the content of the nodes.We observed that \ndocument networks 
 have a large number of triangles and a high value \nclustering coefficient
 .\nAlso there is a strong correlation between the probability of \nformati
 on of a triangle and the content similarity among the three \nnodes involv
 ed. We propose the degree-similarity product (DSP) \nmodel\, which well re
 produces these properties. The model achieves \nthis by using a preferenti
 al attachment mechanism that favours the \nlinkage between nodes that are 
 both popular and similar.\nThis work is a step forward towards a better un
 derstanding of the \nstructure and evolution of document networks.\n\nPape
 r link: http://www.iop.org/EJ/abstract/1367-2630/11/3/033019/
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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