TY - GEN
T1 - Sentiment propagation in social networks
T2 - 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
AU - Zafarani, Reza
AU - Cole, William D.
AU - Liu, Huan
PY - 2010/12/24
Y1 - 2010/12/24
N2 - Social networking websites have facilitated a new style of communication through blogs, instant messaging, and various other techniques. Through collaboration, millions of users participate in millions of discussions every day. However, it is still difficult to determine the extent to which such discussions affect the emotions of the participants. We surmise that emotionally-oriented discussions may affect a given user's general emotional bent and be reflected in other discussions he or she may initiate or participate in. It is in this way that emotion (or sentiment) may propagate through a network. In this paper, we analyze sentiment propagation in social networks, review the importance and challenges of such a study, and provide methodologies for measuring this kind of propagation. A case study has been conducted on a large dataset gathered from the LiveJournal social network. Experimental results are promising in revealing some aspects of the sentiment propagation taking place in social networks.
AB - Social networking websites have facilitated a new style of communication through blogs, instant messaging, and various other techniques. Through collaboration, millions of users participate in millions of discussions every day. However, it is still difficult to determine the extent to which such discussions affect the emotions of the participants. We surmise that emotionally-oriented discussions may affect a given user's general emotional bent and be reflected in other discussions he or she may initiate or participate in. It is in this way that emotion (or sentiment) may propagate through a network. In this paper, we analyze sentiment propagation in social networks, review the importance and challenges of such a study, and provide methodologies for measuring this kind of propagation. A case study has been conducted on a large dataset gathered from the LiveJournal social network. Experimental results are promising in revealing some aspects of the sentiment propagation taking place in social networks.
UR - http://www.scopus.com/inward/record.url?scp=78650377944&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650377944&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12079-4_52
DO - 10.1007/978-3-642-12079-4_52
M3 - Conference contribution
AN - SCOPUS:78650377944
SN - 3642120784
SN - 9783642120787
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 413
EP - 420
BT - Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Y2 - 30 March 2010 through 31 March 2010
ER -