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Transitivity matrix of social network graphs
2012 IEEE Statistical Signal Processing Workshop (SSP)
Transitivity in friendship graphs has been well known as a key property of social networks. In this paper, we extend the graph transitivity index by introducing a new characteristic quantity of graphs, namely the transitivity matrix. The transitivity matrix measures the microscopic impact that each link has on the global transitivity index of the graph. We argue that the new transitivity metric is synergetic with key aspects of the social science literature on social network theory, and we showdoi:10.1109/ssp.2012.6319644 dblp:conf/ssp/AghagolzadehBR12 fatcat:5dwpsmgxjvbfhdvuey3xgz7s54