Website Interaction Network

Luo, X; Liu, H; Xuan, J

Website Interaction Network

Luo, X Liu, H Xuan, J

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Publication Type:: Journal Article
Citation:: Journal of Organizational Computing and Electronic Commerce, 2014, 24 (2-3), pp. 215 - 235
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Luo, X	en_US
dc.contributor.author	Liu, H	en_US
dc.contributor.author	Xuan, J https://orcid.org/0000-0002-8367-6908	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Journal of Organizational Computing and Electronic Commerce, 2014, 24 (2-3), pp. 215 - 235	en_US
dc.identifier.issn	1091-9392	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120524
dc.description.abstract	The websites-based social network, as a social media, provides and shares abundant information via organizing users' content and contacts, whereby users' activities in the real world can be imaged to the websites. However, users' content and contacts in real-world social networks cannot be detected easily. Herein, we construct a website interaction network to reflect the online social network, based on mapping relationships among websites, webpages, and attributes of a social event. This network reflects the social association relationships between websites of an event, which can be mapped to the users' relationships in the real-world social network. In this article, we study the structural features of a website interaction network and, then, mapping of these features to the real-world social network. Further, we discuss implications for human behaviors, human relationships, and structure of human society. Experimental results show that the website interaction networks concerning popular social events have power-law scaling in degree distribution and exhibit small-world properties. Copyright © Taylor & Francis Group, LLC.	en_US
dc.relation.ispartof	Journal of Organizational Computing and Electronic Commerce	en_US
dc.relation.isbasedon	10.1080/10919392.2014.896728	en_US
dc.subject.classification	Information Systems	en_US
dc.title	Website Interaction Network	en_US
dc.type	Journal Article
utslib.citation.volume	2-3	en_US
utslib.citation.volume	24	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	1503 Business and Management	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 Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	2-3	en_US
pubs.publication-status	Published	en_US
pubs.volume	24	en_US

Abstract:

The websites-based social network, as a social media, provides and shares abundant information via organizing users' content and contacts, whereby users' activities in the real world can be imaged to the websites. However, users' content and contacts in real-world social networks cannot be detected easily. Herein, we construct a website interaction network to reflect the online social network, based on mapping relationships among websites, webpages, and attributes of a social event. This network reflects the social association relationships between websites of an event, which can be mapped to the users' relationships in the real-world social network. In this article, we study the structural features of a website interaction network and, then, mapping of these features to the real-world social network. Further, we discuss implications for human behaviors, human relationships, and structure of human society. Experimental results show that the website interaction networks concerning popular social events have power-law scaling in degree distribution and exhibit small-world properties. Copyright © Taylor & Francis Group, LLC.

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

http://hdl.handle.net/10453/120524