View Item 

Emotional reactions to real-world events in social networks

Access Status
Fulltext not available
Authors
Nguyen, Thin
Phung, Dinh
Adams, Brett
Venkatesh, Svetha
Date
2012
Type
Conference Paper

Metadata
Show full item record
Citation
Nguyen, T. and Phung, D. and Adams, B. and Venkatesh, S. 2012. Emotional reactions to real-world events in social networks, in Cao, L. and Huang, J.Z. and Bailey, J. and Koh, Y.S. and Luo, J. (ed), 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 24-27 2011, pp. 53-64. Shenzhen, China: Springer-Verlag.
Source Title
Lecture Notes in Artificial Intelligence 7104. New Frontiers in Applied Data Mining
Source Conference
15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
DOI
ISSN
School
Department of Computing
URI
Collection
Abstract

A convergence of emotions among people in social networks is potentially resulted by the occurrence of an unprecedented event in real world. E.g., a majority of bloggers would react angrily at the September 11 terrorist attacks. Based on this observation, we introduce a sentiment index, computed from the current mood tags in a collection of blog posts utilizing an affective lexicon, potentially revealing subtle events discussed in the blogosphere. We then develop a method for extracting events based on this index and its distribution. Our second contribution is establishment of a new bursty structure in text streams termed a sentiment burst. We employ a stochastic model to detect bursty periods of moods and the events associated. Our results on a dataset of more than 12 million mood-tagged blog posts over a 4-year period have shown that our sentiment-based bursty events are indeed meaningful, in several ways.