I-SFI model of propagation dynamic based on user’s interest intensity and considering birth and death rate

References

• Y. Xiao, W. Li, S. Qiang, Q. Li, H. Xiao, Y. Liu, et al., A rumor & anti-rumor propagation model based on data enhancement and evolutionary game, IEEE Trans. Emerg. Topics Comput. 10 (2) (2020), pp. 690–703. doi:10.1109/TETC.2020.3034188.
   Web of Science ®Google Scholar
• Y. Zhang, F. Liu, and Y.H. Koura, et al., Dynamics of a delayed interactive model applied to information dissemination in social networks, Math. Problems Eng 2021 (2021), pp. 1–12. doi:10.1155/2021/6611168.
   Web of Science ®Google Scholar
• L. Qian An information dissemination model based on the rumor & anti-rumor & stimulate-rumor and tripartite cognitive game. IEEE Transactions on Cognitive and Developmental Systems (2022).
   Google Scholar
• R. Pastor-Satorras and A. Vespignani, Epidemic spreading in scale-free networks, Phys. Rev. Lett. 86 (14) (2001), pp. 3200. doi:10.1103/PhysRevLett.86.3200.
   PubMed Web of Science ®Google Scholar
• F.H. Chen, A susceptible-infected epidemic model with voluntary vaccinations[J], J. Math Biol. 53 (2) (2006), pp. 253–272. doi:10.1007/s00285-006-0006-1.
   PubMed Web of Science ®Google Scholar
• W. Ma, M. Song, and Y. Takeuchi, Global stability of an SIR epidemicmodel with time delay, Appl. Math. Lett. 17 (10) (2004), pp. 1141–1145. doi:10.1016/j.aml.2003.11.005.
   Web of Science ®Google Scholar
• L. Stone, B. Shulgin, and Z. Agur, Theoretical examination of the pulse vaccination policy in the SIR epidemic model, Math. Comput. Model 31 (4–5) (2000), pp. 207–215. doi:10.1016/S0895-7177(00)00040-6.
   Google Scholar
• Y. Moreno, J.B. Gómez, and A.F. Pacheco, Epidemic incidence in correlated complex networks, Phys. Rev. E 68 (3) (2003), pp. 035103. doi:10.1103/PhysRevE.68.035103.
   Web of Science ®Google Scholar
• M.Y. Li and J.S. Muldowney, Global stability for the SEIR model in epidemiology, Math Biosci 125 (2) (1995), pp. 155–164. doi:10.1016/0025-5564(95)92756-5.
   PubMed Web of Science ®Google Scholar
• C. Xia, S. Sun, F. Rao, J. Sun, J. Wang, Z. Chen, et al., SIS model of epidemic spreading on dynamical networks with community, Front. Comput. Sci. China 3 (3) (2009), pp. 361–365. doi:10.1007/s11704-009-0057-8.
   Google Scholar
• R. Parshani, S. Carmi, and S. Havlin, Epidemic threshold for the susceptible-infectious-susceptible model on random networks, Phys. Rev. Lett. 104 (25) (2010), pp. 258701. doi:10.1103/PhysRevLett.104.258701.
   PubMed Web of Science ®Google Scholar
• L. Zhao, J. Wang, Y. Chen, Q. Wang, J. Cheng, H. Cui, et al., SIHR rumor spreading model in social networks, Physica. A 391 (7) (2012), pp. 2444–2453. doi:10.1016/j.physa.2011.12.008.
   Web of Science ®Google Scholar
• L.L. Xia, G.P. Jiang, B. Song, et al., Rumor spreading model considering hesitating mechanism in complex social networks, Physica A: Statistical Mechanics And Its App. query 437 (2015), pp. 295–303. doi:10.1016/j.physa.2015.05.113.
   Web of Science ®Google Scholar
• Y. Cheng, C. Liu, F. Ding, and F. Ding, Dynamic analysis of rumor spreading model for considering active network nodes and nonlinear spreading rate, Physica A 506 (2018), pp. 24–35. doi:10.1016/j.physa.2018.03.063.
   Web of Science ®Google Scholar
• F. Yin, X. Shao, and J. Wu, Nearcasting forwarding behaviors and information propagation in Chinese sina-Microblog, Mathematical Biosciences And Engineering 16 (5) (2019), pp. 5380–5394. doi:10.3934/mbe.2019268.
   PubMed Web of Science ®Google Scholar
• F. Yin, X. Zhu, X. Shao, X. Xia, Y. Pan, J. Wu, et al., Modeling and quantifying the influence of opinion involving opinion leaders on delayed information propagation dynamics, Appl. Math. Lett. 121 (2021), pp. 107356. doi:10.1016/j.aml.2021.107356.
   Web of Science ®Google Scholar
• F. Yin, X. Xia, X. Zhang, M. Zhang, J. Lv, J. Wu, et al., Modelling the dynamic emotional information propagation and guiding the public sentiment in the Chinese sina-microblog, Appl. Math. Comput. 396 (2021), pp. 125884. doi:10.1016/j.amc.2020.125884.
   Web of Science ®Google Scholar
• F. Yin, X. Shao, B. Tang, X. Xia, and J. Wu, Modeling and analyzing cross-transmission dynamics of related information co-propagation, Sci. Rep. 11 (22) (2021) 1–20. Editorial10.22409/rep.v11i22.50413
   Google Scholar
• A. Iamnitchi and I. Foster Interest-aware information dissemination in small-world communities[C]//HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005, Research Triangle Park, NC, USA. IEEE, 2005: 167–175.
   Google Scholar
• R.I. Ciobanu, R.C. Marin, C. Dobre, et al. ONSIDE: Socially-aware and interest-based dissemination in opportunistic networks[C]//2014 IEEE Network Operations and Management Symposium (NOMS), Krakow, Poland. IEEE, 2014: 1–6.
   Google Scholar
• R.I. Ciobanu, R.C. Marin, C. Dobre, et al., Interest-awareness in data dissemination for opportunistic networks, Ad Hoc Networks 25 (2015), pp. 330–345. doi:10.1016/j.adhoc.2014.07.004.
   Web of Science ®Google Scholar
• R.I. Ciobanu, R.C. Marin, C. Dobre, et al. Opportunistic dissemination using context-based data aggregation over interest spaces[C]//2015 IEEE International Conference on Communications (ICC), London, UK. IEEE, 2015: 1219–1225.
   Google Scholar
• N. Zhao and X. Cui, Impact of individual interest shift on information dissemination in modular networks. Physica A: Statistical mechanics and its applications, Physica A 466 (2017), pp. 232–242. doi:10.1016/j.physa.2016.09.019.
   Google Scholar
• X. Gan, Z. Qin, L. Fu, and X. Wang, et al., Unraveling the impact of users’ interest on information dissemination in wireless networks, IEEE. Access 6 (2018), pp. 32687–32699. doi:10.1109/ACCESS.2018.2841432.
   Web of Science ®Google Scholar
• J. Wan, X. Chen, Y. Du, and M. Jia, et al., Information propagation model based on hybrid social factors of opportunity, trust and motivation, Neurocomputing 333 (2019), pp. 169–184. doi:10.1016/j.neucom.2018.12.062.
   Web of Science ®Google Scholar
• J. Liu, Y.J. Du, and Q. Li, et al., Social community evolution by combining gravitational relationship with community structure, Intell. Data Anal. 22 (5) (2018), pp. 1143–1161. doi:10.3233/IDA-173561.
   Web of Science ®Google Scholar
• Q. Li, Y.J. Du, Z.Y. Li, et al., HK–SEIR model of public opinion evolution based on communication factors, Engineering Applications Of Artificial Intelligence 100 (2021), pp. 104192. doi:10.1016/j.engappai.2021.104192.
   Web of Science ®Google Scholar
• J. Huo and H. Zhao, Dynamical analysis of a fractional SIR model with birth and death on heterogeneous complex networks, Physica A 448 (2016), pp. 41–56. doi:10.1016/j.physa.2015.12.078.
   Web of Science ®Google Scholar
• C.I. Hovland, A.A. Lumsdaine, and F.D. Sheffield, Experiments on mass communication, Princeton University Press, 1949.
   Google Scholar