Tracing Public Opinion Propagation and Emotional Evolution Based on Public Emergencies in Social Networks

Authors

  • Huang Wei-dong Nanjing University of Posts and Telecommunications Nanjing, Jiangsu, Peoples R China
  • Wang Qian Nanjing University of Posts and Telecommunications Nanjing, Jiangsu, Peoples R China
  • Cao Jie Tanjing University of Information Science and Technology Nanjing, Jiangsu, Peoples R China.

Keywords:

opinion mining, the public opinion propagation, semantic classes, machine learning

Abstract

Social network has become the main communication platform for public emergencies, and it has also made the public opinion influence spread more widely. How to effectively obtain public opinions from it to guide the healthy development of the society is an important issue that the government and other functional departments are concerned about. However, the interaction and evolution mechanism between the subject and the environment in the public opinion propagation is complicated, and the public and media attention and reaction to the incident are closely linked with the progress of the incident disposal. And public mining corpus has some shortcomings in the distribution of emotional classification. Only the timely update of artificial rules and emotional dictionary resources, it can handle new text data well. In fact, from the perspective of public opinion propagation, this paper built the network matrix between Internet users through the forwarding relationship, and used the social network analysis method and the emotion mining analysis technology to study the interaction and evolution mechanism between the subject and the environment in the public opinion propagation, and it studied the role of users in the emotional propagation of social networks. This paper proposed a sentiment analysis method on the micro-blog platform, which expanded the emotional dictionary and took sentence and emoticon and sentence patterns into account, which improved the accuracy of positive and negative classifications and emotional polarity analysis of the micro-blog.

References

Chen Y.J. (2010); An Effective Way to Explore the Internet, Computer and Information Science (ICIS), 529-534, 2010.

Cho, Y.; Hwang, J.; Lee, D. (2012); Identification of effective opinion leaders in the diffusion of technological innovation: a social network approach, Technological Forecasting and SocialChange, 79(1), 97-106, 2012. https://doi.org/10.1016/j.techfore.2011.06.003

Han, S.C.; Liu, Y.; Chen, H.L.; Zhang, Z.J. (2016); Influence Model of User Behavior Characteristics on Information Dissemination, International Journal of Computers Communications & Control, 11(2), 209-223, 2016. https://doi.org/10.15837/ijccc.2016.2.2441

Hong, X.J.; Jiang, N.; Xia, J.J. (2014); Study on Micro-blog Rumor Based on Social Network Analysis - A Case Study on the Micro-blog about Food Security, Intelligence Journal, 8, 161-167, 2014.

Lee, C. H. (2012); Mining Spatio-temporal Information on Micro-blogging Streams Using a Density-based Online Clustering Method, Expert Systems with Applications, 39(10), 9623- 9641, 2012. https://doi.org/10.1016/j.eswa.2012.02.136

Nair, H.S.; Manchanda, P.; Bhatia, T. (2010); Asymmetric Social Interactions in Physician Prescription Behavior: The Role of Opinion Leader, Journal of Marketing Research, 47, 883-895, 2010. https://doi.org/10.1509/jmkr.47.5.883

Paltoglou, G. (2016), Sentiment-based Event Detection in Twitter, Journal of the Association for Information, Science and Technology, 67(7), 1576-1587, 2016. https://doi.org/10.1002/asi.23465

Riloff, E.; Patwardhan, S.; Wiebe, J. (2006); Feature Subsumption for Opinion Analysis. Conference on Empirical Methods in Natural Language Processing, 440-448, 2006. https://doi.org/10.3115/1610075.1610137

Su, X.-P.; Song, Y.-R. (2015); Leveraging neighborhood "structural holes" toidentifying key spreaders in social networks, Acta Phys. Sin, 2, 5-15, 2015.

Sznajd, W.K. (2006); Opinion Evolution in Closed Community, Physics C, 11, 1157-1165, 2000.

Wang, L.; Zhao, Y.; Liang, S.H. (2013), Micro-blog Social NetworkAnalysis Based on Network Group Behavior, Advanced Materials Research, 79(12), 435-438, 2013.

Wen, F.; He, Z.; Dai, Z.; Yang, X. (2014); Characteristics of Investors' Risk Preference for Stock Markets, Economic Computation and Economic Cybernetics Studies and Research, 48(3), 235-254, 2014.

Wen, F.; Gong, X.; Cai, S. (2016); Forecasting the volatility of crude oil futures using HAR-type models with structural breaks, Energy Economics, 59, 400-413, 2016. https://doi.org/10.1016/j.eneco.2016.07.014

Wen, F.; Xiao, J.; Huang, C.; Xia, X. (2018); Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility. Applied Economics, 50(3), 319-334, 2018. https://doi.org/10.1080/00036846.2017.1321838

Wiebe, J.; Riloff, E. (2012); Finding Mutual Benefit between Subjectivity Analysis and Information Extraction, IEEE Transactions on Affective Computing, 2(4), 175-191, 2012.

Xiong, F.,; Liu, Y.; Zhang, Z.J. (2012); An information diffusion model based on retweeting mechanism for online social media, Physics Letters A, 6, 2103-2108, 2012.

Xu, L.; Lin, H.; Zhao, J. (2008); Construction and Analysis of Emotional Corpus, Journal of Chinese Information Processing, 1, 116-122, 2008.

Zhang, D. (2017): High-speed Train Control System Big Data Analysis Based on Fuzzy RDF Model and Uncertain Reasoning, International Journal of Computers Communications & Control, 12(4), 577-591, 2017. https://doi.org/10.15837/ijccc.2017.4.2914

Zhang, H.; Small, M.; Fu, X. (2011); Staged Progression Model for Epidemic Spread on Homogeneous and Heterogeneous Networks, Journal of Systems Science and Complexity, 24, 619-630, 2011. https://doi.org/10.1007/s11424-011-8252-8

Zhang, D.; Sui, J.; Gong, Y. (2017); Large scale software test data generation based on collective constraint and weighted combination method, Tehniki vjesnik, 24(4), 1041-1049, 2017.

Zhao, J.L.; Cheng, J.H. (2015); Analysis of Micro-blog Public Opinion Diffusion Based on SNA: AN Empirical Study on April 20 Ya'an Earthquake in Sichuan, Management Review, 1, 148-157, 2015.

Zhao, H.Q. (2015); Analysis of Complex Network Public Opinion Communication, Journal of Qinghai University (Natural Science), 4, 29-37, 2015.

Zhou, M.; Liu, X.; Pan, B. (2017); Effect of Tourism Building Investments on Tourist Revenues in China: A Spatial Panel Econometric Analysis, Emerging Markets Finance and Trade, 53(9), 1973-1987, 2017. https://doi.org/10.1080/1540496X.2016.1237353

Published

2018-02-12

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