Abstract: Two approaches to clustering and blockmodeling of temporal networks are presented: the first is based on an adaptation of the clustering of symbolic data described by modal values and the second is based on clustering with relational constraints. Different options for describing a temporal block model are discussed.Keywords: social networks, network analysis, blockmodeling, symbolic data analysis, clustering with relational constraintsPublished in DiRROS: 08.04.2024; Views: 86; Downloads: 44 Full text (461,70 KB)This document has many files! More...
