Title :
Context based identification of user communities from Internet chat
Author :
Kabán, Ata ; Wang, Xin
Author_Institution :
Sch. of Comput. Sci., Birmingham Univ., UK
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Conference_Location :
Budapest
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381206
