Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Information diffusion through blogspace
ACM SIGKDD Explorations Newsletter
Community discovery and analysis in blogspace
Proceedings of the 15th international conference on World Wide Web
A social hypertext model for finding community in blogs
Proceedings of the seventeenth conference on Hypertext and hypermedia
BlogRank: ranking weblogs based on connectivity and similarity features
AAA-IDEA '06 Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications
Splog detection using self-similarity analysis on blog temporal dynamics
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Ranking user-created contents by search user's inclination in online communities
Proceedings of the 18th international conference on World wide web
Separating the reputation and the sociability of online community users
Proceedings of the 2010 ACM Symposium on Applied Computing
Impact and degree of user sociability in social media
Information Sciences: an International Journal
LSA as ground truth for recommending "flickr-aware" representative tags
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
Tag recommendation by machine learning with textual and social features
Journal of Intelligent Information Systems
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Community web sites on specific topics are very popular on the web. Some active web communities are so huge and diverse that it becomes a challenging issue to efficiently mine meaningful knowledge from the web communities. In this paper, we develop schemes to discover and browse power users by their activities in online communities. The novelties of this work are two-fold. 1) We define new features to describe user's social activities: statistical features to summarize users’ activities and relationship-based features to describe interactions between individual users. And, through extensive user study and experiments to compare the performances of the ranking models based on various features, it is shown that the cross reference (CR) feature plays an unique and effective role in discovering power users in post-dominant online communities. 2) Thereafter, we develop a novel interface for effective exploration of power users based on the CR rank. Two schemes are proposed to incrementally navigate a large number of candidate power users with higher CR values: threshold-based navigation and traversal-based one. Experimental results shows that the proposed CR rank can be used for effective browsing of power users: about 70 % precision is maintained while retrieving all the power users, which means that we can discover all the power users with relatively small number of false alarms.