Influence Model of User Behavior Characteristics on Information Dissemination
Keywords:
SIR, behavior dynamics, scaling laws, information disseminationAbstract
Quantitative analysis on human behavior, especially mining and modeling temporal and spatial regularities, is a common focus of statistical physics and complexity sciences. The in-depth understanding of human behavior helps in explaining many complex socioeconomic phenomena, and in finding applications in public opinion monitoring, disease control, transportation system design, calling center services, information recommendation. In this paper,we study the impact of human activity patterns on information diffusion. Using SIR propagation model and empirical data, conduct quantitative research on the impact of user behavior on information dissemination. It is found that when the exponent is small, user behavioral characteristics have features of many new dissemination nodes, fast information dissemination, but information continued propagation time is short, with limited influence; when the exponent is big, there are fewer new dissemination nodes, but will expand the scope of information dissemination and extend information dissemination duration; it is also found that for group behaviors, the power-law characteristic a greater impact on the speed of information dissemination than individual behaviors. This study provides a reference to better understand influence of social networking user behavior characteristics on information dissemination and kinetic effect.References
Zhou, T.; Han, X.P.et al(2013); Statistical Mechanics on Temporal and Spatial Activities of Human, Journal of University of Electronic Science and Technology of China, ISSN 1674- 862X, 4(4):481-540.
Zhang, H.P.(2015); An agent-based simulation model for supply chain collaborative technological innovation diffusion, International Journal of Simulation Modelling, ISSN 1726-4529, 14(2):313-324.
Liu, S.; Gong,D.(2014); Modelling and simulation on recycling of electric vehicle batteriesusing agent approach, International Journal of Simulation Modelling, ISSN 1726-4529, 13(1):79-92.
Pasztor, A.(2014); Gathering simulation of real robot swarm, Technical Gazette, ISSN 1848- 6339, 21(5):1073-1080.
Shang, Y.l.(2013); Measuring degree-dependent failure in scale-free networks of bipartite structure, International Journal of Simulation & Process Modelling, ISSN 1740-2131, 8(1):74- 78.
Lerher, T.; Ekren, Y.B.; Sari,Z.;Rosi,B.(2015); Simulation Analysis of Shuttle Based Storage and Retrieval Systems, International Journal of Simulation Modelling, ISSN 1726-4529, 14(1):48-59.
Cho, Y.C.(2015); A novel approach of adaptive socially aware routing algorithm in delay tolerant networks, Technical Gazette, ISSN 1848-6339, 22(1):61-70.
Xue, Y.G.et al(2014); Determination of statistical homogeneity by comprehensively considering the discontinuity information, Technical Gazette, ISSN 1848-6339, 21(5),971-977.
Java, A.; Song, X.; Finin, T.; Tseng,B.(2007);
WebKDD/SNAKDD 2007:web mining and social network analysis post-workshop report, Acm Sigkdd Explorations Newsletter, 9(2):87- 92.
Kwak, H.; Lee, C.; Park, H.(2010); What is Twitter,a Social Network or a News Media, International conference on World wide web,591-600.
Cha, M.; Haddadi, H.et al(2010); Measuring user influence in Twitter: the million follower fallacy, Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, 23-26.
Suh, B.; Hong, L.; Pirolli, P.; Chi, E.H.(2010); Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network, 2010 IEEE Second International Conference on Social Computing, 177-184.
Han, D.D.et al(2008); Fluctuation of the Download Network, Chinese Physics Letters, ISSN 0256-307X, 25(2):765-768.
Fu, F.; Liu, L.H.; Wang, L.(2008); Empirical analysis of online social networks in the age of Web 2.0, Physica A, ISSN 0378-4371, 387(2):675-684.
http://dx.doi.org/10.1016/j.physa.2007.10.006
Wang, Z. et al(2015); Coupled disease-behavior dynamics on complex networks: A review, Physics of Life Reviews, ISSN 1571-0645, 15(1):30-31.
Alessandro, A.; Laura, B.; George, L.(2015);
Privacy and human behavior in the age of information, Science, 347(6221):509-14.
http://dx.doi.org/10.1126/science.aaa1465
Freitas, C.R.D.(2015); Weather and place-based human behavior: recreational preferences and sensitivity, International Journal of Biometeorology, ISSN 0020-7128, 59(1):55-63.
Medina, J.R.; Lorenz,T.; Hirche, S.(2015); Synthesizing Anticipatory Haptic Assistance Considering Human Behavior Uncertainty, Robotics IEEE Transactions on, 31(1):180-190.
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