Abstract
Using the method of analogy, this paper built the social information field, information field force model and the information diffusion dynamics model to study the dynamic mechanism and the law of the movement regarding how misconduct information moves among nodes in the web forum. It also constructed the web forum misconduct information diffusion complex network simulation model to study the diffusion intensity of misconduct information and its influencing factors. The conclusion is that, under the force of the field, the information flows from the high potential node to the low potential node, during which resistance is generated inside and outside the diffusion channel. In the complex network of the web forum, the diffusion intensity of misconduct information displays an increasing trend as the possibility of reconnection among broken nodes becomes higher. The main factor that determines the diffusion intensity of the misconduct information is the average shortest path. It also increases when the interaction frequency turns higher.
Similar content being viewed by others
References
Wimmer R D, Dominick J R. Mass Media Research:An Introduction [M]. Seventh edition. Belmont: Wadsworth Publishing Company, 2003:54–60.
Lasswell H D. The Structure and Function of Communication in Society: In the Communication of Ideas [M]. New York: Institute for Religious and Social Studies, 1948.
Daley D J, Kendall D G. Stochastic rumors[J]. IMA Journal of Applied Mathematics, 1965, 1(1): 42–55.
Daley D J, Gani J. Epidemic Modeling [M]. Cambridge: Cambridge University Press, 2000.
Maki D P, Thompson M. Mathematical Models and Applications: with Emphasis on the Social, Life, and Management Sciences [M]. Englewood Cliffs: Prentice Hall, 1973.
Zhang F, Li L, Xuan H Y. Survey of transmission models of infectious diseases [J]. Systems Engineering Theory & Practice, 2011, 31(9): 1736–1744(Ch).
Woo J, Chen H. An event-driven SIR model for topic diffusion in web forums [C] //Proc of IEEE International Conference on Intelligence and Security Informatics, 2012: 108–113.
Wang J L, Liu S Q, Zheng B W, et al. Qualitative and bifurcation analysis using an SIR model with a saturated treatment function[J]. Mathematical and Computer Modeling, 2012, 55: 710–722.
Zhang Y C, Liu Y, Zhang H F. The research of information dissemination model on online social network [J]. Acta Physica Sinica, 2011, 60(5): 60–66(Ch).
Borge-Holthoefer J, Meloni S, Goncalves B, et al. Emergence of influential spreaders in modified rumor models [J]. Journal of Statistical Physics, 2013, 151(1/2): 383–393.
Chen J. Research of Communication Subjects of Social Network Site Based on WEB2.0 Internet Background [D]. Xiangtan: Xiangtan University, 2013(Ch).
Chen B, Tang X Y, Yu L. Identifying method for opinion leaders in social network based on competency model [J]. Journal on Communications, 2014, 35(11): 89–96(Ch).
Cao L. The ten characteristics of micro-blog communication and its impact on speech ecology[J]. Journalism Review, 2011, (9): 29–34(Ch).
Yi C Q, Bao Y, Xue Y, et al. Research on mechanism of large-scale information dissemination based on Sina Weibo [J]. Journal of Frontiers of Computer Science & Technology, 2013, 7(6): 551–561(Ch).
Cao J X, Wu J L, Shi W, et al. Sina microblog information diffusion analysis and prediction[J]. Chinese Journal of Computers, 2014, (4):779–790(Ch).
Hao Z, Huang C, Cai R, et al. User interest related information diffusion pattern mining in microblog [J]. Pattern Recognition & Artificial Intelligence, 2016, 29(10): 924–935 (Ch).
Jia H, Xiao R, Yao H, et al. Characteristic analysis of information propagation pattern in online social network [J]. Journal of Computer Applications, 2013, 33(1):105–107 (Ch).
Liu Q Z. A Study on the Influencing Factors of Social Network Information Dissemination: A Case Study of Sina and Micro-Blog [D]. Xi’an: Shaanxi University of Finance and Economics, 2016(Ch).
Zhang H F. Research on Information Dissemination and Viewpoint Evolution in Micro-Blog Network [D]. Beijing: Beijing Jiaotong University, 2015(Ch).
Huang H C, Jiang A L, Hu M. Analysis of information dissemination model based on social network [J]. Application Research of Computers, 2016, 33(9): 2738–2742(Ch).
Yuan G. Analysis of the causes and motivations of network rumors in emergencies—A case study of social media [J]. Media, 2016, (21): 80–83(Ch).
Li H. Research on the Causes of Micro-Blog Rumor and Its Communication Model [D]. Shijiazhuang: Hebei University, 2014(Ch).
Zhuang P. The characteristics and countermeasures of rumor spreading in the media environment [J]. Brand, 2015, (1): 37-37(Ch).
Zhao Q W, Ma Y Y. A probe into the characteristics of We Chat rumor propagation in the We-media age [J]. Journal of News Research, 2014, (16): 11-11(Ch).
Jo D G. Diffusion of rumors on the Internet [J]. The Information Society Review, 2002, (1): 76–77.
Peng C, Li M X. Channels and governance of rumor spreading [J]. Shang Qing, 2013, (43):239-239(Ch).
Nicholas D F, Nicole R M, Jerry S M, et al. Rumor about cancer: content, sources, coping, transmission, and belief [J]. Journal of Health Communication, 2012, (1): 83–84.
Xu B L. Network rumor spreading from audience psychology [J]. Journal of News Research, 2016, 6(6):98-98(Ch).
Meng F R. Research on Rumor Propagation Model in Social Network [D]. Nanjing: Nanjing University of Posts and Telecommunications, 2013(Ch).
Polanyi M. Personal knowledge: Towards a post-critical philosophy [J]. British Journal of Educational Studies, 1958, 20(3): 429.
Pan D B. Field Economics [M]. Wuhan: Hubei People’s Press, 1994(Ch).
Nonaka I, Konno N. The concept of “Ba”: Building a foundation for knowledge creation [J]. California Management Review, 1998, 40(3): 40–54.
Zhang B. On construction, measurement and evolution of knowledge field: A perspective of knowledge flow [J]. Journal of Intelligence, 2011(Ch).
Luo X B. Description of the field[C]//Proceedings of Hubei Society of Physics and Annual Meeting of the 2015. Wuhan: Wuhan Physics Society. 2015: 318–332(Ch).
Yu Y D. Mathematical representation and demonstration of advantage agglomeration in regional coordinate economic field [J]. China Business (On Economic Theory), 2006, (2): 3–9(Ch).
Isard W. Introduction to regional science [J]. Canadian Journal of Economics/Revue Canadienne Deconomique, 1975, 9(3): 542.
Long Q Y. Gravity model analysis of urban interaction [J]. Journal of Central South University of Forestry & Technology (Social Sciences), 2005, 16(5): 48–49(Ch).
Hasson J A, Tinbergen J. Shaping the world economy: Suggestions for an international economic policy [J]. Economica, 1962, 31(123):327.
Poyhonen P. A tentative model for the flows of trade between countries [J]. Weltwirtschatftliches Archive, 1963, 90: 93–100.
Ahn Y Y, Han S, Kwak H, et al. Analysis of topological characteristics of huge online social networking services[C]// International Conference on World Wide Web. New York: ACM, 2007:835–844.
Ha J, Kim S W, Kim S W, et al. An analysis on information diffusion through Blog Cast, in a blogosphere [J]. Information Sciences, 2015, 290(C):45–62.
Hu H B. Research on the Structure, Evolution and Dynamics of Online Social Networks [D]. Shanghai: Shanghai Jiao Tong University, 2010(Ch).
Zhang B. Small world phenomenon of knowledge flowing in complex networks [J]. Journal of Guangxi Normal University, 2010, 28(4): 15–20(Ch).
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Supported by the National Natural Science Foundation for Young Scientists of China (71503188), Key Research Institute of Humanities & Social Science in Hubei Higher Education Institutions (DSS20160105), Subsidy Fund of Grain Science and Technology Innovation and Scientific and Technological Achievements Transformation Set by Grain Bureau of Hubei Province, and Wuhan Social Science Consortium Project
Rights and permissions
About this article
Cite this article
Zhao, W., Zheng, Z. & Xu, X. Modelling and simulation of misconduct information diffusion in web forum. Wuhan Univ. J. Nat. Sci. 22, 541–548 (2017). https://doi.org/10.1007/s11859-017-1286-6
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11859-017-1286-6