DocumentCode
1816567
Title
Centrality and Power among Website Users: A Social Network Analysis Application
Author
McGrath, G. Michael
Author_Institution
Centre for Tourism & Services Res., Victoria Univ., Melbourne, VIC, Australia
Volume
4
fYear
2009
fDate
29-31 Aug. 2009
Firstpage
562
Lastpage
567
Abstract
A major feature of the emergence of Web 2.0 is the proliferation of dasiaconsumer-generated contentpsila (CGC) websites, often established as alternatives to corporate or dasiaofficialpsila sites. In this paper, we report on a preliminary study designed to demonstrate how techniques drawn from dasiaSocial Network Analysispsila (SNA) and artificial intelligence might be employed to develop an understanding of the influence relationships and hierarchies within these websites. Armed with this knowledge, organizations may be able to develop strategies as to how they might best co-exist and deal with relevant CGC sites.
Keywords
Internet; artificial intelligence; social networking (online); Web 2.0; Website users; artificial intelligence; consumer-generated content proliferation; social network analysis; consumer-generated content; influence strategies; social network analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4244-5334-4
Electronic_ISBN
978-0-7695-3823-5
Type
conf
DOI
10.1109/CSE.2009.190
Filename
5283887
Link To Document