A weighted evolving network model more approach to reality

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dc.creatorFu, Chuan-Ji
dc.creatorOu, Qing
dc.creatorChen, Wen
dc.creatorWang, Bing-Hong
dc.creatorJin, Ying-Di
dc.creatorNiu, Yong-Wei
dc.creatorZhou, Tao
dc.date2004-08-07
dc.date.accessioned2026-07-07T02:59:37Z
dc.date.available2026-07-07T02:59:37Z
dc.descriptionIn search of many social and economical systems, it is found that node strength distribution as well as degree distribution demonstrate the behavior of power-law with droop-head and heavy-tail. We present a new model for the growth of weighted networks considering the connection of nodes with low strengths. Numerical simulations indicate that this network model yields three power-law distributions of the node degrees, node strengths and connection weights. Particularly, the droop-head and heavy-tail effects can be reflected in the first two ones by this new model.
dc.description5 pages, 5 eps figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0408155
dc.identifierhttp://arxiv.org/abs/cond-mat/0408155
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/24580
dc.subjectDisordered Systems and Neural Networks
dc.titleA weighted evolving network model more approach to reality
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