Detecting conversing groups of chatters : a model, algorithms, and tests

Camtepe, Seyit A., Goldberg, Mark, Krishnamoorty, Mukkai, & Magdon-Ismail, Malik (2005) Detecting conversing groups of chatters : a model, algorithms, and tests. In Guimaraes, N. & Isaias, P. (Eds.) Proceedings of the IADIS International Conference on Applied Computing, Algarve, Portugal, pp. 89-96.

View at publisher


Chatrooms, for example Internet Relay Chat, are generally multi-user, multi-channel and multiserver chat-systems which run over the Internet and provide a protocol for real-time text-based conferencing between users all over the world. While a well-trained human observer is able to understand who is chatting with whom, there are no efficient and accurate automated tools to determine the groups of users conversing with each other. A precursor to analysing evolving cyber-social phenomena is to first determine what the conversations are and which groups of chatters are involved in each conversation. We consider this problem in this paper. We propose an algorithm to discover all groups of users that are engaged in conversation. Our algorithms are based on a statistical model of a chatroom that is founded on our experience with real chatrooms. Our approach does not require any semantic analysis of the conversations, rather it is based purely on the statistical information contained in the sequence of posts. We improve the accuracy by applying some graph algorithms to clean the statistical information. We present some experimental results which indicate that one can automatically determine the conversing groups in a chatroom, purely on the basis of statistical analysis.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 57517
Item Type: Conference Paper
Refereed: Yes
Keywords: Social network analysis, chatroom analysis
ISBN: 972993536X
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Engineering and Theory (080607)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 21 Feb 2013 22:20
Last Modified: 21 Feb 2013 22:20

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page