TY  - JOUR
UR  - http://dx.doi.org/10.1103/PhysRevE.76.016101
JF  - Physical Review E
IS  - 1
AV  - public
TI  - Ensemble approach to the analysis of weighted networks
KW  - PACS: 89.75.Hc
KW  -  05.10.?a
KW  -  89.65.?s

Y1  - 2007///
N2  - We present an approach to the analysis of weighted networks, by providing a straightforward generalization of any network measure defined on unweighted networks, such as the average degree of the nearest neighbors, 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. Our approach is based on the translation of a weighted network into an ensemble of edges. Further introducing this approach we demonstrate its advantages by applying the clustering coefficient constructed in this way to two real-world weighted networks.
A1  - Ahnert, Sebastian E.
A1  - Garlaschelli, Diego
A1  - Fink, Thomas M.A.
A1  - Caldarelli, Guido
SN  - 1539-3755
PB  - American Physical Society
ID  - eprints1104
N1  - © 2007 American Physical Society
VL  - 76
ER  -