Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
Proceedings of the 17th international conference on World Wide Web
Extracting and ranking viral communities using seeds and content similarity
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Characterizing and predicting community members from evolutionary and heterogeneous networks
Proceedings of the 17th ACM conference on Information and knowledge management
Multi-scale characterization of social network dynamics in the blogosphere
Proceedings of the 17th ACM conference on Information and knowledge management
Analyzing communities and their evolutions in dynamic social networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Identifying bloggers with marketing influence in the blogosphere
Proceedings of the 11th International Conference on Electronic Commerce
Expert Systems with Applications: An International Journal
Social reader: following social networks in the wilds of the blogosphere
WSM '09 Proceedings of the first SIGMM workshop on Social media
Detecting Changes over Time in a Knowledge Sharing Community
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Making sense of meaning: leveraging social processes to understand media semantics
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Separating the reputation and the sociability of online community users
Proceedings of the 2010 ACM Symposium on Applied Computing
Extraction, characterization and utility of prototypical communication groups in the blogosphere
ACM Transactions on Information Systems (TOIS)
A clustering method of bloggers based on social annotations
International Journal of Business Intelligence and Data Mining
Identifying topic experts and topic communities in the blogspace
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Analysis and modeling of social influence in high performance computing workloads
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Subject-based extraction of a latent blog community
Information Sciences: an International Journal
A time-varying propagation model of hot topic on BBS sites and Blog networks
Information Sciences: an International Journal
A study of homophily on social media
World Wide Web
Impact and degree of user sociability in social media
Information Sciences: an International Journal
Discovery of Web user communities and their role in personalization
User Modeling and User-Adapted Interaction
Community detection in Social Media
Data Mining and Knowledge Discovery
V-SMART-join: a scalable mapreduce framework for all-pair similarity joins of multisets and vectors
Proceedings of the VLDB Endowment
Discovering influencers for marketing in the blogosphere
Information Sciences: an International Journal
Evolving social data mining and affective analysis methodologies, framework and applications
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Proceedings of the 2012 international workshop on Socially-aware multimedia
Social reader: towards browsing the social web
Multimedia Tools and Applications
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There are information needs involving costly decisions that cannot be efficiently satisfied through conventional web search engines. Alternately, community centric search can provide multiple viewpoints to facilitate decision making. We propose to discover and model the temporal dynamics of thematic communities based on mutual awareness, where the awareness arises due to observable blogger actions and the expansion of mutual awareness leads to community formation. Given a query, we construct a directed action graph that is time-dependent, and weighted with respect to the query. We model the process of mutual awareness expansion using a random walk process and extract communities based on the model. We propose an interaction space based representation to quantify community dynamics. Each community is represented as a vector in the interaction space and its evolution is determined by a novel interaction correlation method. We have conducted experiments with a real-world blog dataset and have promising results for detection as well as insightful results for community evolution.