Paper Info
Title
Exploring Opinion Dynamics in Security-Related Microblog Data
Abstract
Web social media has become one of the major channels for people to express their opinions, share their feelings and communicate with others. Public opinions often ebb and flow with time due to the occurrence of social events and mutual influence of people on certain topics. The dynamic change of public opinions reflects the evolvement and trend of public attitudes and can facilitate many security-related applications. In this paper, we explore the modeling and detection of opinion dynamics on a specific topic based on textual social media data. We first define three measures to provide a thorough description of opinion dynamics, and identify the key factors that influence opinion changes, namely sentiment, social influence and dynamic factors. We then develop the computational method to capture opinion dynamics in security-related data. A preliminary empirical study is conducted based on the data from Weibo, one of the most popular microblog sites in China. The experimental results show the effectiveness of our method in modeling and predicting opinion dynamics.
Year
DOI
Venue
2014
10.1109/JISIC.2014.56
JISIC
Keywords
Field
DocType
opinion change,social media analytics,web social media,public opinion,dynamic factors,public attitudes,modeling and detection of sentiment evolvement,sentiment,china,social media analytics, opinion dynamics, modeling and detection of sentiment evolvement,opinion dynamics,social influence,security-related microblog data,social networking (online),social sciences computing,security of data
Data mining,Social media analytics,Social media,Computer science,Microblogging,Social influence,Opinion dynamics,Feeling,Empirical research
Conference
Citations 
PageRank 
References 
1
0.36
4
Authors
5
Name
Order
Citations
PageRank
Yuhao Zhang110.69
Wenji Mao246252.77
daniel dajun zeng3648.46
Ning Zhao410.36
Xiuguo Bao592.54