Temporal and information flow based event detection from social text streams

Qiankun Zhao, Prasenjit Mitra, Bi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

61 Citations (Scopus)

Abstract

Recently, social text streams (e.g., blogs, web forums, and emails) have become ubiquitous with the evolution of the web. In some sense, social text streams are sensors of the real world. Often, it is desirable to extract real world events from the social text streams. However, existing event detection research mainly focused only on the stream properties of social text streams but ignored the contextual, temporal, and social information embedded in the streams. In this paper, we propose to detect events from social text streams by exploring the content as well as the temporal, and social dimensions. We define the term event as the information flow between a group of social actors on a specific topic over a certain time period. We represent social text streams as multi-graphs, where each node represents a social actor and each edge represents the information flow between two actors. The content and temporal associations within the flow of information are embedded in the corresponding edge. Events are detected by combining text-based clustering, temporal segmentation, and information flow-based graph cuts of the dual graph of the social networks. Experiments conducted with the Enron email dataset 1 and the political blog dataset from Dailykos 2 show the proposed event detection approach outperforms the other alternatives.

Original languageEnglish
Title of host publicationProceedings of the National Conference on Artificial Intelligence
Pages1501-1506
Number of pages6
Volume2
Publication statusPublished - 2007
Externally publishedYes
EventAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC
Duration: 22 Jul 200726 Jul 2007

Other

OtherAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
CityVancouver, BC
Period22/7/0726/7/07

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ASJC Scopus subject areas

  • Software

Cite this

Zhao, Q., Mitra, P., & Chen, B. (2007). Temporal and information flow based event detection from social text streams. In Proceedings of the National Conference on Artificial Intelligence (Vol. 2, pp. 1501-1506)