Paper Info
Title
Propagator or Influencer?: A Data-driven Approach for Evaluating Emotional Effect in Online Information Diffusion.
Abstract
Reposting is the basic and key behavior for information diffusion in online social networks. It would be beneficial to understand the influence factors of reposting behavior and predict future reposting status, which could be practically applied in breaking news detection, marketing, social media researches and so on. Existing reposting analytics and prediction approaches mainly focus on factors related to the original information content and the social influence of the information publishers. However, online information diffuses by viral cascades instead of single-source broadcast in social network, which means some reposting behavior actually occurs in information propagators rather than the original publishers. In some social networks, users are allowed to comment when they repost, which represents their views and attitudes to the information they propagate. In this paper, we evaluate how emotional tendencies of information propagators influence future reposting. We first propose a modified sentiment analysis method and present emotional analysis on the user-generated content in online diffusion. Experiments are conducted with a real-world dataset and the results indicate the effectiveness of our fine-grained emotional features in reposting prediction.
Year
DOI
Venue
2017
10.1145/3110025.3116192
ASONAM '17: Advances in Social Networks Analysis and Mining 2017 Sydney Australia July, 2017
Keywords
Field
DocType
Information diffusion,retweet,sentiment analysis,feature selection,online social networks
Broadcasting,Data-driven,Social media,Social network,Feature selection,Computer science,Sentiment analysis,Social influence,Artificial intelligence,Analytics,Machine learning
Conference
ISSN
ISBN
Citations 
2473-9928
978-1-4503-4993-2
0
PageRank 
References 
Authors
0.34
21
7
Name
Order
Citations
PageRank
Jun Yang18240.03
Zhaoguo Wang2512.64
Fangchun Di311.41
Liyue Chen400.34
Chengqi Yi5112.87
Yibo Xue623033.06
Jun Li733838.15