Title
\"Discovering emotion influence patterns in online social network conversations\" by Suin Kim, JinYeong Bak, and Alice Oh, with Ching-man Au Yeung as coordinator
Abstract
Conversational partners influence each others' emotions and topics. Using a large dataset of Twitter conversations and an unsupervised machine learning technique, we discover patterns of emotion influence in naturally occurring conversations. We describe our computational framework for automatically classifying emotions, analyzing the emotional transitions, and discovering emotion influence patterns. We found that conversational partners usually express the same emotion (emotion contagion), but when they do not, one of the conversational partners tends to respond with a positive emotion. Also, tweets containing sympathy, apology, and complaint are significant emotion influencers. One of the interesting findings is that expressing a desired emotion is the best strategy to alter partner's emotion.
Year
DOI
Venue
2012
10.1145/2362631.2362634
SIGWEB Newsletter
Keywords
Field
DocType
emotion contagion,jinyeong bak,ching-man au yeung,suin kim,discovering emotion influence pattern,classifying emotion,computational framework,online social network conversation,conversational partner,positive emotion,significant emotion influencers,emotion influence pattern,twitter conversation,emotion influence,best strategy
Sympathy,World Wide Web,Social network,Computer science,Cognitive science,Unsupervised learning,Complaint,Artificial intelligence,Influencer marketing
Journal
Volume
Issue
Citations 
2012
Autumn
2
PageRank 
References 
Authors
0.43
4
3
Name
Order
Citations
PageRank
Suin Kim11089.34
JinYeong Bak2424.90
Alice Oh363857.85