The social force model: a behavioral modeling approach for information propagation during significant events

References

• Li M, Wang X, Gao K, et al. A survey on information diffusion in online social networks: models and methods. Information. 2017;8(4):118. doi: 10.3390/info8040118
   Web of Science ®Google Scholar
• Guille A, Hacid H, Favre C, et al. Information diffusion in online social networks: a survey. ACM Sigmod Rec. 2013;42(2):17–28. doi: 10.1145/2503792.2503797
   Web of Science ®Google Scholar
• Wang Q, Lin Z, Jin Y, et al. ESIS: emotion-based spreader–ignorant–stifler model for information diffusion. Knowl-Based Syst. 2015;81:46–55. doi: 10.1016/j.knosys.2015.02.006
   Web of Science ®Google Scholar
• Cannarella J, Spechler JA. Epidemiological modeling of online social network dynamics. preprint, 2014. arXiv:14014208.
   Google Scholar
• Feng L, Hu Y, Li B, et al. Competing for attention in social media under information overload conditions. PLoS ONE. 2015;10(7):e0126090. doi: 10.1371/journal.pone.0126090
   PubMed Web of Science ®Google Scholar
• Xuejun D. Research on propagation model of public opinion topics based on SCIR in microblogging [J]. Comput Eng Appl. 2015;8:20–26.
   Google Scholar
• WANG C, YANG X, XU K, et al. SEIR-based model for the information spreading over SNS. Acta Electron Sin. 2014;42(11):2325.
   Google Scholar
• Xu RZ, Li HL, Xing CM. Research on information dissemination model for social networking services. Int J Comput Sci Appl. 2013;2(1):1–6.
   Google Scholar
• Jung K, Heo W, Chen W. Irie: scalable and robust influence maximization in social networks. In: 2012 IEEE 12th International Conference on Data Mining; IEEE; 2012. p. 918–923.
   Google Scholar
• Kim J, Kim SK, Yu H. Scalable and parallelizable processing of influence maximization for large-scale social networks? In: 2013 IEEE 29th International Conference on Data Engineering (ICDE); IEEE; 2013. p. 266–277.
   Google Scholar
• Xiong F, Liu Y, Zhang Z, et al. An information diffusion model based on retweeting mechanism for online social media. Phys Lett A. 2012;376(30-31):2103–2108. doi: 10.1016/j.physleta.2012.05.021
   Web of Science ®Google Scholar
• Freeman M, McVittie J, Sivak I, et al. Viral information propagation in the Digg online social network. Phys A Stat Mech Appl. 2014;415:87–94. doi: 10.1016/j.physa.2014.06.011
   Google Scholar
• He D, Liu X. Novel competitive information propagation macro mathematical model in online social network. J Comput Sci. 2020;41:101089. doi: 10.1016/j.jocs.2020.101089
   Web of Science ®Google Scholar
• Sang CY, Liao SG. Modeling and simulation of information dissemination model considering user's awareness behavior in mobile social networks. Phys A Stat Mech Appl. 2020;537:122639. doi: 10.1016/j.physa.2019.122639
   Google Scholar
• Al-garadi MA, Varathan KD, Ravana SD. Identification of influential spreaders in online social networks using interaction weighted K-core decomposition method. Phys A Stat Mech Appl. 2017;468:278–288. doi: 10.1016/j.physa.2016.11.002
   Google Scholar
• Kimura M, Saito K. Tractable models for information diffusion in social networks. In: European Conference on Principles of Data Mining and Knowledge Discovery; Berlin, Germany: Springer; 2006. p. 259–271.
   Google Scholar
• Ortiz-Gaona RM, Postigo-Boix M, Melús-Moreno JL. Extent prediction of the information and influence propagation in online social networks. Comput Math Organ Theory. 2021;27(2):195–230. doi: 10.1007/s10588-020-09309-6
   Web of Science ®Google Scholar
• Huynh T, Nguyen H, Zelinka I, et al. Detecting the influencer on social networks using passion point and measures of information propagation. Sustainability. 2020;12(7):3064. doi: 10.3390/su12073064
   Web of Science ®Google Scholar
• Wen S, Haghighi MS, Chen C, et al. A sword with two edges: propagation studies on both positive and negative information in online social networks. IEEE Trans Comput. 2014;64(3):640–653. doi: 10.1109/TC.2013.2295802
   Web of Science ®Google Scholar
• Ferguson C, Inglis SC, Newton PJ, et al. Social media: a tool to spread information: a case study analysis of Twitter conversation at the cardiac society of Australia & New Zealand 61st annual scientific meeting 2013. Collegian. 2014;21(2):89–93. doi: 10.1016/j.colegn.2014.03.002
   PubMed Web of Science ®Google Scholar
• Arnaboldi V, Conti M, Passarella A, et al. Online social networks and information diffusion: the role of ego networks. Online Soc Netw Media. 2017;1:44–55. doi: 10.1016/j.osnem.2017.04.001
   Google Scholar
• McLaughlin ML, Hou J, Meng J, et al. Propagation of information about preexposure prophylaxis (PrEP) for HIV prevention through Twitter. Health Commun. 2016;31(8):998–1007. doi: 10.1080/10410236.2015.1027033
   PubMed Web of Science ®Google Scholar
• Li L, Zhang Q, Tian J, et al. Characterizing information propagation patterns in emergencies: a case study with Yiliang earthquake. Int J Inf Manag. 2018;38(1):34–41. doi: 10.1016/j.ijinfomgt.2017.08.008
   Web of Science ®Google Scholar
• Liu C, Zhou N, Zhan XX, et al. Markov-based solution for information diffusion on adaptive social networks. Appl Math Comput. 2020;380:125286. doi: 10.1016/j.cam.2020.112982
   Web of Science ®Google Scholar
• Fan C, Jiang Y, Yang Y, et al. Crowd or hubs: information diffusion patterns in online social networks in disasters. Int J Disaster Risk Reduct. 2020;46:101498. doi: 10.1016/j.ijdrr.2020.101498
   Web of Science ®Google Scholar
• Pan T, Li X, Kuhnle A, et al. Influence diffusion in online social networks with propagation rate changes. IEEE Trans Netw Sci Eng. 2020;7(4):3100–3111. doi: 10.1109/TNSE.6488902
   Web of Science ®Google Scholar
• Wang J, Xu Y, Tang M. Avalanche dynamics of multi-information propagation modelling. J Phys Conf Ser. 2021;1746.012016.
   Google Scholar
• Liu S, Sun C, Qiu L, et al. Spectator-filter-spreader-stifler information propagation model with wake-up mechanism in social networks. Concurr Comput Pract Exp. 2021;33(5):e5973. doi: 10.1002/cpe.v33.5
   Web of Science ®Google Scholar
• Wang Y, Wang J, Wang H, et al. Users' mobility enhances information diffusion in online social networks. Inf Sci. 2021;546:329–348. doi: 10.1016/j.ins.2020.07.061
   Web of Science ®Google Scholar
• Cornes FE, Frank GA, Dorso CO. Fear propagation and the evacuation dynamics. Simul Model Pract Theory. 2019;95:112–133. doi: 10.1016/j.simpat.2019.04.012
   Web of Science ®Google Scholar