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Notes on blockmodeling
Institution:1. College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China;2. Centre for Artificial Intelligence, University of Technology Sydney, Ultimate 2007, Australia
Abstract:We attempt to develop further the blockmodeling of networks, so as better to capture the network structure. For this purpose a richer structure than ordinary (valued) graphs has to be used for a model. Such structures are valued graphs with typified (complete, dominant, regular, etc.) connections. Based on the proposed formalization, the blockmodeling is cast as an optimization problem.
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