Title: Self-monitoring in social networks

Authors: Amin Anjomshoaa; Khue Vo Sao; Amirreza Tahamtan; A. Min Tjoa; Edgar Weippl

Addresses: Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11, A-1040 Vienna, Austria. ' Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11, A-1040 Vienna, Austria. ' Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11, A-1040 Vienna, Austria. ' Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11, A-1040 Vienna, Austria. ' SBA-Research, Favoritenstr. 16, A-1040 Vienna, Austria

Abstract: Web 2.0 has changed the technological landscape of the internet computing world today. The shift from traditional web which is also known as Web 1.0 is forced by the growing need for more efficient information sharing, collaboration, and business processes. The disclosure of personal/organisational information in Web 2.0 via social networks, digital contributions and data feeds has created new security and privacy challenges. Designing transparent, usable systems in support of personal privacy, security, and trust, requires advanced knowledge retrieval techniques that can support information sharing processes by applying appropriate policies. This paper proposes a Web 2.0 analysis methodology that provides reusable foundation components for information extraction, analysis and visualisation. These components can be used by the same method can be also used by individuals to make a self-test of their Web 2.0 contributions and find out what inferences will be derived from their web presence.

Keywords: Web 2.0; security; privacy; knowledge retrieval; social networks; self-monitoring; trust; information sharing; information extraction; information analysis; information visualisation; self-testing; web presence inferences.

DOI: 10.1504/IJIIDS.2012.049110

International Journal of Intelligent Information and Database Systems, 2012 Vol.6 No.4, pp.363 - 380

Received: 03 Aug 2010
Accepted: 06 Dec 2010

Published online: 16 Aug 2014 *

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