NDLI: Exploring Opinion Dynamics in Security-Related Microblog Data

Content Provider	IEEE Xplore Digital Library
Author	Yuhao Zhang Wenji Mao Zeng, D. Ning Zhao Xiuguo Bao
Copyright Year	2014
Description	Author affiliation: Beijing Police Dept., Beijing, China (Ning Zhao) \|\| State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China (Yuhao Zhang; Wenji Mao; Zeng, D.) \|\| CNCERT/CC, Beijing, China (Xiuguo Bao)
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.
Starting Page	284
Ending Page	287
File Size	256660
Page Count	4
File Format	PDF
e-ISBN	9781479963645
DOI	10.1109/JISIC.2014.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Support vector machines Modeling and detection of sentiment evolvement Social media analytics Media Predictive models Time measurement Data models Opinion dynamics Logistics
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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