Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2006-04-18
Phys. Rev. E 76, 016101 (2007)
Physics
Condensed Matter
Statistical Mechanics
4 pages 3 figures
Scientific paper
10.1103/PhysRevE.76.016101
We present a new approach to the calculation of measures in weighted networks, based on the translation of a weighted network into an ensemble of edges. This leads to a straightforward generalization of any measure defined on unweighted networks, such as the average degree of the nearest neighbours, the clustering coefficient, the `betweenness', the distance between two nodes and the diameter of a network. All these measures are well established for unweighted networks but have hitherto proven difficult to define for weighted networks. Further to introducing this approach we demonstrate its advantages by applying the clustering coefficient constructed in this way to two real-world weighted networks.
Ahnert Sebastian E.
Caldarelli Guido
Fink Thomas M.
Garlaschelli Diego
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