Structural and temporal analysis of the blogosphere through community factorization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Incremental spectral clustering by efficiently updating the eigen-system
Pattern Recognition
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
Identifying Influential Bloggers: Time Does Matter
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Modeling and Data Mining in Blogosphere
Modeling and Data Mining in Blogosphere
Hyper-community detection in the blogosphere
Proceedings of second ACM SIGMM workshop on Social media
Sentiment community detection in social networks
Proceedings of the 2011 iConference
Different Approaches to Groups and Key Person Identification in Blogosphere
ASONAM '11 Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining
Agent-based Modelling of Social Organisations
CISIS '11 Proceedings of the 2011 International Conference on Complex, Intelligent, and Software Intensive Systems
SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Identification of Group Changes in Blogosphere
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Discovering content-based behavioral roles in social networks
Decision Support Systems
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This work concerns the analysis of number, sizes and other characteristics of groups identified in the blogosphere using a set of models identifying social relations. These models differ regarding identification of social relations, influenced by methods of classifying the addressee of the comments (they are either the post author or the author of a comment on which this comment is directly addressing) and by a sentiment calculated for comments considering the statistics of words present and connotation. The state of a selected blog portal was analyzed in sequential, partly overlapping time intervals. Groups in each interval were identified using a version of the CPM algorithm, on the basis of them, stable groups, existing for at least a minimal assumed duration of time, were identified.