DocumentCode :
531545
Title :
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Author :
Vavliakis, Konstantinos N. ; Symeonidis, Andreas L. ; Mitkas, Pericles A.
Author_Institution :
Electr. & Comput. Eng. Dept., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Volume :
1
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
615
Lastpage :
618
Abstract :
Web 2.0 provided internet users with a dynamic medium, where information is updated continuously and anyone can participate. Though preliminary analysis exists, there is still little understanding on what exactly stimulates users to actively participate, create and share content in online communities. In this paper we present a methodology that aspires to identify and analyze those events that trigger web user activity, content creation and sharing in Web 2.0. Our approach is based on user personality and motivation, and on the occurrence of events with a personal or global impact. The proposed methodology was applied on data collected from Flickr and analysis was performed through the use of statistics and data mining techniques.
Keywords :
Internet; data mining; social aspects of automation; Internet user; Web 2.0; Web user activity; content creation; data mining; dynamic medium; online community; statistics; user personality; Crowdsourcing; Data Mining; Flickr; Sharing; Social Media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
Type :
conf
DOI :
10.1109/WI-IAT.2010.125
Filename :
5616449
Link To Document :
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