Community Cube: a semantic framework for analysing social network data
by Lilia Hannachi; Nadjia Benblidia; Omar Boussaid; Fadila Bentayeb
International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol. 10, No. 3, 2015

Abstract: Social network research has focused mainly on the inference of social influence, building of user communities and prediction analysis. However, very little work has been carried out to investigate and document how online analytical processing (OLAP) tools can interactively analyse social networks according to different perspectives and with multiple granularities. In this paper we study the use of data warehousing and OLAP technologies with such new multidimensional social network by proposing Community Cube architecture. Going beyond traditional OLAP operations, our architecture proposes a new method that combines data mining and OLAP tools to navigate through the user hierarchy. Besides traditional OLAP queries, our approach introduces a new class of queries, which we named 'NetCuboid'. These queries take into account the attributes associated with networks entities, the user-generated content, and the topological structure of the networks. Experimental results showcase the effectiveness of our approach for decision-making based on social network data.

Online publication date: Sun, 27-Dec-2015

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 Metadata, Semantics and Ontologies (IJMSO):
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