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
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;
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
DOI :
10.1109/CSE.2009.190
