Title: Centrality measurement on semantically multiplex social networks: divide-and-conquer approach
Authors: Jason J. Jung, Krzysztof Juszczyszyn, Ngoc Thanh Nguyen
Addresses: Department of Computer Engineering, Yeungnam University, Dae-Dong, Gyeongsan, Korea. ' Institute of Information Science and Engineering, Wroclaw University of Technology, Wyb. Wyspianskiego 27 50-370 Wroclaw, Poland. ' Institute of Information Science and Engineering, Wroclaw University of Technology, Wyb. Wyspianskiego 27 50-370 Wroclaw, Poland
Abstract: Semantic technologies exploit to support collaborations in social networks. However, these networks assume that linkages between actors should be ignored, more exactly, semantically identical. For example, in bibliometrics, links on network are described with only |co-authoring| relationship between the actors. In this paper, we focus on analysing semantically multiplex social networks, representing various relationships between people simultaneously. Especially, we show how to discover important social patterns, from the networks. Thereby, we propose a divide-and-conquer approach based on semantic alignment function, separating the multiplex social networks with respect to concepts describing the relationship. Additionally, we exploit the relationships between topological features and the labels by statistical co-occurrence analysis. Finally, we demonstrate our three-layered semantic space with some examples.
Keywords: semantic social networks; ontology matching; centrality; collaboration; social patterns.
International Journal of Intelligent Information and Database Systems, 2007 Vol.1 No.3/4, pp.277 - 292
Published online: 14 Jan 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article