DocumentCode
2330688
Title
Context based identification of user communities from Internet chat
Author
Kabán, Ata ; Wang, Xin
Author_Institution
Sch. of Comput. Sci., Birmingham Univ., UK
Volume
4
fYear
2004
fDate
25-29 July 2004
Firstpage
3287
Abstract
We study the temporal connectivity structure of single-channel Internet-based chat participation streams. Somewhat similar to bibliometric analysis, and complementary to topic-analysis, we base our study solely on context information provided by the temporal order of participants´ contributions. Experimental results obtained by employing both network-analysis indicators and an aggregate Markov modelling approach indicate the existence of distinguishable communities in the about one day worth real-world chat dynamics analysed.
Keywords
Internet; Markov processes; text analysis; Internet chat; aggregate Markov modelling; bibliometric analysis; context based identification; network-analysis indicator; temporal connectivity structure; topic-analysis; user community identification; Aggregates; Collaborative work; Computer science; Context; Educational technology; Frequency; Information analysis; Internet; Relays; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Conference_Location
Budapest
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1381206
Filename
1381206
Link To Document