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Studying the process of network public opinion reversal is of great significance for guiding public opinion toward a positive direction. Currently, the research on opinion reversal mainly focuses on the construction of dynamic models and analysis of simulations and the results of which have a certain theory value. However, whether these models are applicable to the real social network environment has not been tested. For studying the process of public opinion reversal, we build a model according with the realities, and make an in-depth analysis of the typical case of opinion reversal. Some rules are found from the observation and statistics: the fundamental reason of public opinion reversal is the conflicting news. Spreading of news affects the opinions of the group. The news properties, including transmission rate, credibility, opinion polarity, publication date and the degree of message source determine the extent to reverse. Based on these rules, parameters of news properties are set, and a model of opinion reversal is proposed by combing the information dissemination with opinion evolution. Simulation results show that the transmission rate of news, the credibility of news, and the degree of message source have a positive influence on the margin of reversal. The influence of credibility is more dramatic than that of transmission rate. Moreover, the public opinion would be reversed more quickly and completely if the conflicting news is released more easily. The proposed model can fit the actual data, which is helpful for understanding and explaining the process of network public opinion reversal, and provides theoretical basis for guiding the network public opinion.
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Keywords:
- conflicting news /
- opinion reversal /
- social network /
- information transmission
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[2] Huang F H, Peng J, Ning L M 2014 Acta Phy. Sin. 63 160501 (in Chinese) [黄飞虎, 彭舰, 宁黎苗 2014 63 160501]
[3] Qian C, Cao J D, Lu J Q, Kurths J 2011 Chaos 21 025116
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[6] Crokidakis N, de Oliveira P M C 2014 Physica A 409 48
[7] Galam S 2002 Eur. Phys. J. B 25 403
[8] Crokidakis N, Forgerini F L 2010 Phys. Lett. A 374 3380
[9] Huang G, Cao J, Wang G, Qu Y 2008 Physica A 387 4665
[10] Huang G, Cao J, Qu Y 2009 Physica A 388 3911
[11] Galam S, Jacobs F 2007 Physica A 381 366
[12] Shen B, Liu Y 2010 Int. J. Mod. Phys. C 21 1001
[13] Xie J, Sreenivasan S, Korniss G, Zhang W, Lim C 2011 Phys. Rev. E 84 011130
[14] Sznajd-Weron K, Tabiszewski M, Timpanaro A M 2011 Eur. Lett. 96 48002
[15] Wu Y, Hu Y, He X H, Deng K 2014 Chin. Phys. B 23 060101
[16] Min L, Liu Z, Tang X Y, Chen M 2014 Acta Phy. Sin. 64 88901 (in Chinese) [闵磊, 刘智, 唐向阳, 陈矛 2014 64 88901]
[17] Ding Z Y, Tia Y, Zhou B 2015 J. Comput. Res. Develop. 51 691 (in Chinese) [丁兆云, 贾焰, 周斌 2015 计算机研究与发展 51 691]
[18] Wu T F, Zhou C L, Wang X H, Huang X X, Chen Z Q, Wang R B 2014 Acta Phy. Sin. 63 240501 (in Chinese) [吴腾飞, 周昌乐, 王小华, 黄孝喜, 谌志群, 王荣波 2014 63 240501]
[19] Kermack W O, McKendrick A G 1991 Bulletin of mathematical biology 53 33
[20] Holme P, Kim B J 2002 Phys. Rev. E 65 026107
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[1] Java A, Song X, Finin T, Tseng B 2007 Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis San Jose, USA, August 12, 2007 p56
[2] Huang F H, Peng J, Ning L M 2014 Acta Phy. Sin. 63 160501 (in Chinese) [黄飞虎, 彭舰, 宁黎苗 2014 63 160501]
[3] Qian C, Cao J D, Lu J Q, Kurths J 2011 Chaos 21 025116
[4] Liu C, Li J 2013 J. Changzhou Normal Univ. 29 91 (in Chinese) [刘冲, 李杰 2013 沧州师范学院学报 29 91]
[5] Galam S 2004 Physica A 336 56
[6] Crokidakis N, de Oliveira P M C 2014 Physica A 409 48
[7] Galam S 2002 Eur. Phys. J. B 25 403
[8] Crokidakis N, Forgerini F L 2010 Phys. Lett. A 374 3380
[9] Huang G, Cao J, Wang G, Qu Y 2008 Physica A 387 4665
[10] Huang G, Cao J, Qu Y 2009 Physica A 388 3911
[11] Galam S, Jacobs F 2007 Physica A 381 366
[12] Shen B, Liu Y 2010 Int. J. Mod. Phys. C 21 1001
[13] Xie J, Sreenivasan S, Korniss G, Zhang W, Lim C 2011 Phys. Rev. E 84 011130
[14] Sznajd-Weron K, Tabiszewski M, Timpanaro A M 2011 Eur. Lett. 96 48002
[15] Wu Y, Hu Y, He X H, Deng K 2014 Chin. Phys. B 23 060101
[16] Min L, Liu Z, Tang X Y, Chen M 2014 Acta Phy. Sin. 64 88901 (in Chinese) [闵磊, 刘智, 唐向阳, 陈矛 2014 64 88901]
[17] Ding Z Y, Tia Y, Zhou B 2015 J. Comput. Res. Develop. 51 691 (in Chinese) [丁兆云, 贾焰, 周斌 2015 计算机研究与发展 51 691]
[18] Wu T F, Zhou C L, Wang X H, Huang X X, Chen Z Q, Wang R B 2014 Acta Phy. Sin. 63 240501 (in Chinese) [吴腾飞, 周昌乐, 王小华, 黄孝喜, 谌志群, 王荣波 2014 63 240501]
[19] Kermack W O, McKendrick A G 1991 Bulletin of mathematical biology 53 33
[20] Holme P, Kim B J 2002 Phys. Rev. E 65 026107
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