A study of retrospective and on-line event detection
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Incremental page rank computation on evolving graphs
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Time weight collaborative filtering
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Mining blog stories using community-based and temporal clustering
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Fast Random Walk with Restart and Its Applications
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Summarizing email conversations with clue words
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Clustering short texts using wikipedia
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Comments-oriented blog summarization by sentence extraction
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Video suggestion and discovery for youtube: taking random walks through the view graph
Proceedings of the 17th international conference on World Wide Web
Hidden sentiment association in chinese web opinion mining
Proceedings of the 17th international conference on World Wide Web
Introduction to Information Retrieval
Introduction to Information Retrieval
A random walk on the red carpet: rating movies with user reviews and pagerank
Proceedings of the 17th ACM conference on Information and knowledge management
Exploiting internal and external semantics for the clustering of short texts using world knowledge
Proceedings of the 18th ACM conference on Information and knowledge management
Graph clustering based on structural/attribute similarities
Proceedings of the VLDB Endowment
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Exploiting novelty, coverage and balance for topic-focused multi-document summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Detecting controversial events from twitter
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Clustering Large Attributed Graphs: An Efficient Incremental Approach
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Supervised random walks: predicting and recommending links in social networks
Proceedings of the fourth ACM international conference on Web search and data mining
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Towards hot events, microblogs usually collect diverse and abundant thoughts, comments and opinions from various viewpoints in a short period. In this paper, we aim to identify collective viewpoints from massive messages. Since individuals may have multiple viewpoints on a given event, and individual viewpoints may also change as time goes by, these present a challenge of extracting collective viewpoints. To address this, we propose a Term-Tweet-User (TWU) graph, which simultaneously incorporates text content, temporal information and community structure, to model postings over time. Based on such model, we propose Time-Sensitive Random Walk (TSRW) to effectively measure the relevance between pairs of terms through considering temporal aspects, and then group terms into collective viewpoints. Additionally, we propose Incremental RandomWalk method to recompute relevance between nodes incrementally and efficiently. Finally, we evaluate our approaches on a real dataset collected from Sina microblog, which is the biggest microblog in China. Extensive experiments show the effectiveness and efficiency of our algorithms.