Context Based Identification of User Communities from Internet Chat Export

@article{citeulike:1398948, 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 networkanalysis indicators and an aggregate Markov modelling approach indicate the existence of distinguishable communities in the about one day worth real-world chat dynamics analysed.}, author = {Kaban and Wang}, citeulike-article-id = {1398948}, comment = {Apply Baum-Welch to model P(personA's post follows personB's post) as an HMM with 6 hidden states}, keywords = {chat}, posted-at = {2007-06-19 17:52:08}, priority = {0}, title = {Context Based Identification of User Communities from Internet Chat} }

TY - JOUR ID - citeulike:1398948 L3 - citeulike-article-id:1398948 N2 - 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 networkanalysis indicators and an aggregate Markov modelling approach indicate the existence of distinguishable communities in the about one day worth real-world chat dynamics analysed. TI - Context Based Identification of User Communities from Internet Chat KW - chat N1 - Apply Baum-Welch to model P(personA's post follows personB's post) as an HMM with 6 hidden states AU - Kaban AU - Wang ER -