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