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An efficient counting method for the colored triad census

Reed-Tsochas, Felix, Marcum, Christopher Steven, Koehly, Laura and Lienert, Jeffrey (2018) An efficient counting method for the colored triad census. Working Paper.


The triad census is an important approach to understand local structure in network science, providing comprehensive assessments of the observed relational configurations between triples of actors in a network. However, researchers are often interested in combinations of relational and categorical nodal attributes. In this case, it is desirable to account for the label, or color, of the nodes in the triad census. In this paper, we describe an efficient algorithm for constructing the colored triad census, based, in part, on existing methods for the classic triad census. We evaluate the performance of the algorithm using empirical and simulated data for both undirected and directed graphs. The results of the simulation demonstrate that the proposed algorithm reduces computational time many-fold over the na¨ıve approach. We also apply the colored triad census to the Zachary karate club network dataset. We simultaneously show the efficiency of the algorithm, and a way to conduct a statistical test on the census by forming a null distribution from 1,000 realizations of a mixingmatrix conditioned graph and comparing the observed colored triad counts to the expected. From this, we demonstrate the method’s utility in our discussion of results about homophily, heterophily, and bridging, simultaneously gained via the colored triad census. In sum, the proposed algorithm for the colored triad census brings novel utility to social network analysis in an efficient package.

Item Type: Other Working Paper
Keywords: Social network analysis, social networks
Subject(s): Complexity
Centre: CABDyN Complexity Centre
Date Deposited: 23 Oct 2018 14:43
Last Modified: 07 Nov 2018 16:08

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