Clustering in weighted networks
Clustering in weighted networks
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DOI：
10.1016/j.socnet.2009.02.002
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发表时间：
2009-05-01
期刊：
影响因子：
3.1
通讯作者：
Panzarasa, Pietro
中科院分区：
文献类型：
--
作者：
Opsahl, Tore;Panzarasa, Pietro
近年来，研究人员对越来越多的加权网络进行了研究，在这些网络中，联系根据其强度或能力有所区分。然而，大多数网络度量方法没有考虑权重，因此无法完全捕捉数据中所包含信息的丰富性。在本文中，我们关注一种最初为无权网络定义的度量：全局聚类系数。我们提出了该系数的一种推广形式，它保留了联系权重中编码的信息。然后，我们通过将标准系数和推广后的系数应用于一些网络数据集进行了比较评估。© 2009爱思唯尔有限公司。保留所有权利。
In recent years, researchers have investigated a growing number of weighted networks where ties are differentiated according to their strength or capacity. Yet, most network measures do not take weights into consideration, and thus do not fully capture the richness of the information contained in the data. In this paper, we focus on a measure originally defined for unweighted networks: the global clustering coefficient. We propose a generalization of this coefficient that retains the information encoded in the weights of ties. We then undertake a comparative assessment by applying the standard and generalized coefficients to a number of network datasets. (C) 2009 Elsevier B.V. All rights reserved.