A weighted evolving network model more approach to reality
classification
❄️ cond-mat.dis-nn
keywords
modelnodeconnectiondistributiondroop-headheavy-tailnetworkpower-law
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In 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.
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