M Li, Y Fan, J Chen, L Gao, Z Di, J Wu - Physica A: Statistical Mechanics …, 2005 - Elsevier
In order to take the weight of connection into consideration and to find a natural measurement of weight, we have collected papers in Econophysics and constructed a …
We review the main tools which allow for the statistical characterization of weighted networks. We then present two case studies, the airline connection network and the scientific …
K Park, YC Lai, N Ye - Physical Review E, 2004 - APS
To account for possible distinct functional roles played by different nodes and links in complex networks, we introduce and analyze a class of weighted scale-free networks. The …
Many empirical networks display an inherent tendency to cluster, ie, to form circles of connected nodes. This feature is typically measured by the clustering coefficient (CC). The …
Economy, and consequently trade, is a fundamental part of human social organization which, until now, has not been studied within the network modeling framework. Here we …
The local structure of unweighted networks can be characterized by the number of times a subgraph appears in the network. The clustering coefficient, reflecting the local configuration …
The connections in many networks are not merely binary entities, either present or not, but have associated weights that record their strengths relative to one another. Recent studies of …
JP Onnela, J Saramäki, J Hyvönen, G Szabó… - New journal of …, 2007 - iopscience.iop.org
We construct a connected network of 3.9 million nodes from mobile phone call records, which can be regarded as a proxy for the underlying human communication network at the …
We develop a statistical theory to characterize correlations in weighted networks. We define the appropriate metrics quantifying correlations and show that strictly uncorrelated weighted …