Discover breaking events with popular hashtags in twitter

Authors:
Anqi Cui;Min Zhang;Yiqun Liu;Shaoping Ma;Kuo Zhang
Affiliations:
Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China
Venue:
Proceedings of the 21st ACM international conference on Information and knowledge management
Year:
2012

Citing 16
Cited 1

Information diffusion through blogspace

Proceedings of the 13th international conference on World Wide Web
The complex dynamics of collaborative tagging

Proceedings of the 16th international conference on World Wide Web
Towards effective browsing of large scale social annotations

Proceedings of the 16th international conference on World Wide Web
Exploring social annotations for information retrieval

Proceedings of the 17th international conference on World Wide Web
Personalized recommendation in social tagging systems using hierarchical clustering

Proceedings of the 2008 ACM conference on Recommender systems
What is Twitter, a social network or a news media?

Proceedings of the 19th international conference on World wide web
TwitterMonitor: trend detection over the twitter stream

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A new perspective on Twitter hashtag use: diffusion of innovation theory

Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter

ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Patterns of temporal variation in online media

Proceedings of the fourth ACM international conference on Web search and data mining
Categorising social tags to improve folksonomy-based recommendations

Web Semantics: Science, Services and Agents on the World Wide Web
Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter

Proceedings of the 20th international conference on World wide web
Analyzing the dynamic evolution of hashtags on Twitter: a language-based approach

LSM '11 Proceedings of the Workshop on Languages in Social Media
Classifying trending topics: a typology of conversation triggers on Twitter

Proceedings of the 20th ACM international conference on Information and knowledge management
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities

Proceedings of the fifth ACM international conference on Web search and data mining
Re-tweeting from a linguistic perspective

LSM '12 Proceedings of the Second Workshop on Language in Social Media

Exploiting hybrid contexts for Tweet segmentation

Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we utilize tags in Twitter (the hashtags) as an indicator of events. We first study the properties of hashtags for event detection. Based on several observations, we proposed three attributes of hashtags, including (1) instability for temporal analysis, (2) Twitter meme possibility to distinguish social events from virtual topics or memes, and (3) authorship entropy for mining the most contributed authors. Based on these attributes, breaking events are discovered with hashtags, which cover a wide range of social events among different languages in the real world.