社交网络公众意见分析研究
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摘要
随着社交网络在世界范围内的蓬勃发展,社交网络公众意见分析成为了一个重要的研究领域,通过分析社交网络产生的数据研究公众意见。社交网络中公众意见在许多领域,如政治、经济、商业、金融、贸易、公共政策实行等,都扮演着重要的角色。然而,相关的理论与技术并不成熟,面临着很多挑战,如不确定性问题的定量化计算、机器学习方法与自然语言处理在社交网络公众意见分析中的应用、公众意见分析理论体系的构建等。本文对社交网络公众意见分析的研究现状进行了综述。
With the worldwide proliferation of social networks,the public opinion analysis of data generated by social network has become an important field of research. The public opinion from social networks plays an important role in many fields such as politics,economy,commerce,finance,trade,public policy implementation and so on. However,the related theory and technology is still inadequate,it faces a lot of challenges,such as,the quantitative computing of the uncertainty problems,the application of machine learning methods and natural language processing in social network public opinion analysis,the construction of theoretical system about public opinion analysis. This paper reviews the current research status of public opinion analysis in social networks.
With the worldwide proliferation of social networks,the public opinion analysis of data generated by social network has become an important field of research. The public opinion from social networks plays an important role in many fields such as politics,economy,commerce,finance,trade,public policy implementation and so on. However,the related theory and technology is still inadequate,it faces a lot of challenges,such as,the quantitative computing of the uncertainty problems,the application of machine learning methods and natural language processing in social network public opinion analysis,the construction of theoretical system about public opinion analysis. This paper reviews the current research status of public opinion analysis in social networks.
引文
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[2] SHAPIRO R Y. Public opinion and American democracy[J].American Journal of Sociology,1963,69(1):982-1017.
[3] MUELLER J E. War,presidents and public opinion[M]. New York:Wiley,1973.
[4]Wikipedia. Social computing[EB/OL].[2017-01-05]. https://en.w ikipedia.org/w iki/Social_computing.
[5] LAZER D,PENTLAND A,ADAMIC L,et al. Computational social science[J]. Science,2009,323(5915):721-723.
[6] CHEN H,WANG F Y,ZENG D. Intelligence and security informatics for homeland security:Information,communication,and transportation[J]. IEEE Transactions on Intelligent Transportation Systems,2004,5(4):329-341.
[7] LERMAN K,GILDER A,DREDZE M,et al. Reading the markets:Forecasting public opinion of political candidates by new s analysis[C]//Proceedings of the 22n d International Conference on Computational Linguistics(Coling 2008). M anchester,United Kingdom:ACM,2008,1:473-480.
[8]AKCORA C G,BAYIR M A,DEMIRBAS M,et al. Identifying breakpoints in public opinion[C]//1s t Workshop on Social M edia Analytics(SOM A’10). Washington,DC,USA:ACM,2010:62-66.
[9]LI Juan,ZHOU Xueguang,CHEN Bin. Research on analysis and monitoring of Internet Public Opinion[M]//Du Z. Proceedings of the 2012 International Conference of M odern Computer Science and Applications. Advances in Intelligent Systems and Computing.Berlin/Heidelberg:Springer,2013,191:449-453.
[10]BROOKER R,SCHAEFER T. Public opinion in the 21s t century:Let the people speak[M]. United States:Houghton M ifflin,2005.
[11]Wikipedia. Arab spring[EB/OL].[2017-01-05]. https://en.w ikipedia.org/w iki/Arab_Spring.
[12]KHONDKER H H. Role of the new media in the Arab Spring[J].Globalizations,2011,8(5):675-679.
[13]WATTS D J,STROGATZ S H. Collective dynamics of‘smallw orld’netw orks[J]. Nature,1998,393(6684):440-442.
[14]BARABSI A,ALBERT R. Emergence of scaling in random netw orks[J]. Science,1999,286(5439):509-512.
[15]CHAKRABARTI D,FALOUTSOS C. Graph mining:Laws,generators and algorithms[J]. ACM Computing Surveys,2006,38(1):2.
[16]TANG L,LIU H. Community detection and mining in social media[M]//HAN Jiaw ei, GETOOR L, WANG Wei,et al.Synthesis Lectures on Data M ining and Know ledge Discovery.California,USA:M organ&Claypool Publishers,2010,2(1):1-137.
[17]JIN R,ZHANG H L,ZHANG Y,et al. Calculation method of Chinese public event information entropy[J]. Journal of Softw are,2016,27(11):2855-2869.