Centrality measurement on semantically multiplex social networks: divide-and-conquer approach
by Jason J. Jung, Krzysztof Juszczyszyn, Ngoc Thanh Nguyen
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 1, No. 3/4, 2007

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.

Online publication date:: Mon, 14-Jan-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Information and Database Systems (IJIIDS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com