Mitigating Risk in Web-Based Social Network Service Selection: Follow the Leader

Al-Sharawneh, JA; Williams, M; Wang, X; Goldbaum, D

Mitigating Risk in Web-Based Social Network Service Selection: Follow the Leader

Al-Sharawneh, JA Williams, M

Wang, X

Goldbaum, D

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Publisher:: The International Academy, Research and Industry Association (IARIA)
Publication Type:: Conference Proceeding
Citation:: The Sixth International Conference on Internet and Web Applications and Services (ICIW 2011), 2011, pp. 156 - 164
Issue Date:: 2011-01

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Field	Value	Language
dc.contributor.author	Al-Sharawneh, JA	en_US
dc.contributor.author	Williams, M https://orcid.org/0000-0002-1047-0503	en_US
dc.contributor.author	Wang, X https://orcid.org/0000-0002-7459-1670	en_US
dc.contributor.author	Goldbaum, D https://orcid.org/0000-0002-4228-1408	en_US
dc.contributor.editor	Mihhail Matskin, MP	en_US
dc.contributor.editor	Mahmood, Z	en_US
dc.date	2011-03-20	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	The Sixth International Conference on Internet and Web Applications and Services (ICIW 2011), 2011, pp. 156 - 164	en_US
dc.identifier.isbn	978-1-61208-004-8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16137
dc.description.abstract	In the Service Web, a huge number of Web services compete to offer similar functionalities from distributed locations. Since no Web service is risk free, this paper aims to mitigate the risk in service selection using 'Follow the Leader' principle as a new approach for risk-reducing strategy. First, we define the user credibility model based on the 'Follow the Leader' principle in web-based social networks. Next we show how to evaluate the Web service credibility based on its trustworthiness and expertise. Finally, we present a dynamic selection model to select the best service with the perceived performance risk and customer risk-attitude considerations. To demonstrate the feasibility and effectiveness of the new 'Follow the Leader' driven approach to alleviate the risk in service selection, we used a Social Network Analysis Studio (SNAS) to verify the validity of the proposed model. The empirical results incorporated in this paper, demonstrate that our approach is a significantly innovative approach as riskreducing strategy in service selection.	en_US
dc.publisher	The International Academy, Research and Industry Association (IARIA)	en_US
dc.relation.ispartof	The Sixth International Conference on Internet and Web Applications and Services (ICIW 2011)	en_US
dc.relation.ispartof	International Conference on Internet and Web Applications and Services	en_US
dc.title	Mitigating Risk in Web-Based Social Network Service Selection: Follow the Leader	en_US
dc.type	Conference Proceeding
utslib.location	IARIA	en_US
utslib.location.activity	St. Maarten, The Netherlands Antilles	en_US
utslib.for	080603 Conceptual Modelling	en_US
dc.location.activity	St. Maarten, The Netherlands Antilles	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Economics Discipline
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - QFRC - Quantitative Finance Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2011-03-25	en_US
pubs.place-of-publication	IARIA	en_US
pubs.start-date	2011-03-20	en_US

Abstract:

In the Service Web, a huge number of Web services compete to offer similar functionalities from distributed locations. Since no Web service is risk free, this paper aims to mitigate the risk in service selection using 'Follow the Leader' principle as a new approach for risk-reducing strategy. First, we define the user credibility model based on the 'Follow the Leader' principle in web-based social networks. Next we show how to evaluate the Web service credibility based on its trustworthiness and expertise. Finally, we present a dynamic selection model to select the best service with the perceived performance risk and customer risk-attitude considerations. To demonstrate the feasibility and effectiveness of the new 'Follow the Leader' driven approach to alleviate the risk in service selection, we used a Social Network Analysis Studio (SNAS) to verify the validity of the proposed model. The empirical results incorporated in this paper, demonstrate that our approach is a significantly innovative approach as riskreducing strategy in service selection.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16137