 An empirical investigation of network polarizationRuben Interian and Celso C. Ribeiro Applied Mathematics and Computation, 2018, vol. 339, issue C, 651-662 Abstract: This paper proposes and explores a new quantitative characterization of the polarization phenomenon in networks. New tools for evaluating the polarization of a network are presented. We first characterize the homophily of each node individually. We depart from the definition of a new measure of the homophily of the nodes of a network and we consider the homophily distribution over the nodes as a primary indicator of the strength of polarization. Next, to address the polarization of the network as a whole, a probabilistic approach is developed. The approach is based on the straightforward computation of empirical cumulative distribution functions of sampled data from the network. These empirical distributions provide a more insightful understanding of the status of the network. They may be used not only to compare the polarization of groups of nodes or entire networks, but also to estimate the impacts of external interventions in terms of node polarization. The usefulness of the approach is illustrated on several case studies associated with real-life data sets from different sources. Keywords: Polarization; Homophily; Network; Graph; p-Value (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:339:y:2018:i:c:p:651-662 DOI: 10.1016/j.amc.2018.07.066 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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