Network Analysis and Modeling, Csci 5352 Lecture 4

نویسنده

  • Aaron Clauset
چکیده

Another class of centrality measures takes a geometric approach to identifying important vertices, relying on geodesic paths between pairs of vertices. Notably, geodesic distances are not metric— they do not obey the triangle inequality—which means applying our (Euclidean) intuition may provide incorrect interpretations of the results. In many cases, the most central vertices under these measures are completely different from those identified by degree-based measures. Here we will study closeness and betweenness centrality scores. As a final point, we note that there are a number of other centrality measures to be found in the literature—and some are even used to study real networks—but the ones we have covered here represent the most common ones.

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تاریخ انتشار 2014