(Phys.org)—A trio of math and computer scientists has developed a means for developing generalized frameworks that allow for clustering networks based on higher-order connectivity patterns. In their paper published in the journal Science, Austin Benson and Jure Leskovec with Stanford University and David Gleich with Purdue University outline their framework ideas and offer real life examples of ways their techniques can be applied to support understand complex networks in simpler ways. Nataša Pržulj and Noël Malod-Dognin with University College London offer an analysis of the work done by the trio in a Perspectives piece in the same journal issue.
Source: phys.org