No Access

School of Computer and Communication, Lanzhou University of Technology, No. 36 Pengjiaping Road, Qilihe District, Lanzhou City, Gansu Province, Lanzhou 730050, P. R. China

Corresponding author.

Search for more papers by this author

Xifei Fu

https://orcid.org/0009-0002-8042-5836

School of Computer and Communication, Lanzhou University of Technology, No. 36 Pengjiaping Road, Qilihe District, Lanzhou City, Gansu Province, Lanzhou 730050, P. R. China

Search for more papers by this author

, and

Zheming Wang

https://orcid.org/0009-0007-7617-9878

School of Computer and Communication, Lanzhou University of Technology, No. 36 Pengjiaping Road, Qilihe District, Lanzhou City, Gansu Province, Lanzhou 730050, P. R. China

Search for more papers by this author

https://doi.org/10.1142/S0129183124502498Cited by:0 (Source: Crossref)

Abstract

The spread of homogenized information on social networks can create certain positive promotional effects. However, if it is excessively spread, it may lead to constraining effects and even cause negative impacts. In this paper, a spreading model called C-SIRI is proposed, which conducts an in-depth study on the constraining mechanism in the process of information spreading, as well as the rules and characteristics affecting its impact. Taking the COVID-19 epidemic information spreading on Sina Weibo social network from March 2020 to May 2022 as an example, the reliability of this model is verified. The results show that content homogeneity, participation degree and false proportion have a significant influence on the constraining mechanism of social network information spreading, and the threshold of information spreading constraining is closely related to the spreading times. This research helps to understand the role of constraining mechanism in information spreading and promote the application of social networks in information spreading prediction and control.

Keywords:

PACS: 89.20.Ff, 89.75.Fb

You currently do not have access to the full text article.
Recommend the journal to your library today!

References

1. J. Poushter, C. Bishop and H. Chwe , Pew Res. Cent. 22, 2 (2018). Google Scholar
2. Z. Shiyong, L. JiaYing, W. Wei, W. HaiJian, U. Akram, W. Lei and L. BiQing , Front. Psychol. 13, 879274 (2022). Crossref, Web of Science, Google Scholar
3. Q. Pan, H. Xia and S. Luo , J. Syst. Sci. Syst. Eng. 27, 677 (2018). Crossref, Web of Science, Google Scholar
4. L.-C. Hsu , Online Inf. Rev. 43, 842 (2018). Crossref, Google Scholar
5. S. H. Choi, H. Seo and M. Yoo , Discrete Contin. Dyn. Syst. B 25, 2351 (2020). Web of Science, Google Scholar
6. L. Feng, Q. Zhao and C. Zhou , Phys. Rev. E 102, 022306 (2020). Crossref, Web of Science, ADS, Google Scholar
7. Y. Lan, B. Zla and C. Ag , Inf. Sci. 506, 113 (2020). Crossref, Google Scholar
8. F. Nian, Y. Qian and R. Liu , J. Comput. Sci. 59, 101558 (2022). Crossref, Web of Science, Google Scholar
9. D. Zhukov, E. Andrianova and O. Trifonova , Symmetry 13, 257 (2021). Crossref, Web of Science, ADS, Google Scholar
10. D. Ritabrata, M. Antonietta and O. Jukka-Pekka , Proc. R. Soc. A Math. Phys. Eng. Sci. 474, 20180129 (2018). Google Scholar
11. M. Kim, D. Paini and R. Jurdak , Proc. Natl. Acad. Sci. U.S.A. 116, 401 (2019). Crossref, Web of Science, ADS, Google Scholar
12. K. Kabir and J. Tanimoto , Commun. Nonlinear Sci. Numer. Simul. 72, 565 (2019). Crossref, Web of Science, ADS, Google Scholar
13. W. O. Kermack and A. G. Mckendrick , Proc. R. Soc. A Math. Phys. Eng. Sci. 138, 55 (1932). Crossref, ADS, Google Scholar
14. W. O. Kermack and A. G. Mckendrick , Proc. R. Soc. A Math. Phys. Eng. Sci. 115, 700 (1927). Crossref, ADS, Google Scholar
15. M. E. J. Newman , Phys. Rev. Lett. 89, 208701 (2002). Crossref, Web of Science, ADS, Google Scholar
16. M. E. J. Newman and M. Girvan , Phys. Rev. E 62, 026113 (2004). Crossref, Web of Science, Google Scholar
17. S. Fortunato , Phys. Rep. 486, 3 (2010). Crossref, Web of Science, Google Scholar
18. U. Alon , Nat. Rev. Genet. 8, 450 (2007). Crossref, Web of Science, Google Scholar
19. A. R. Benson, D. F. Gleich and J. Leskovec , Science 353, 163 (2016). Crossref, Web of Science, ADS, Google Scholar
20. A. L. Barabasi and R. Albert , Science 286, 509 (1999). Crossref, Web of Science, ADS, Google Scholar
21. D. J. Watts and S. H. Strogatz , Nature 393, 440 (1998). Crossref, Web of Science, ADS, Google Scholar
22. L. Lu, D. Chen, X. L. Ren, Q. M. Zhang, Y. C. Zhang and T. Zhou , Phys. Rep. 650, 1 (2016). Crossref, Web of Science, ADS, Google Scholar
23. D. Kempe, J. Kleinberg and E. Tardos , Maximizing the spread of influence through a social network, Proc. 9th ACM SIGKDD Int. Conf. Knowl. Discov. Data Mining (2003), pp. 137–146. Crossref, Google Scholar
24. E. Bakshy, J. M. Hofman, W. A. Mason and D. J. Watts , Everyone’s an influencer: quantifying influence on twitter, Proc. 4th ACM Int. Conf. Web Search Data Mining (2011), pp. 65–74. Crossref, Google Scholar
25. L. Lü and T. Zhou , Phys. A Stat. Mech. Appl. 390, 1150 (2010). Crossref, Web of Science, ADS, Google Scholar
26. V. Martinez, F. Berzal and J. C. Cubero , ACM Comput. Surv. 49, 1 (2016). Crossref, Web of Science, Google Scholar
27. T. Zhou, arXiv. Google Scholar
28. R. Pastor-Satorras and A. Vespignani , Phys. Rev. Lett. 86, 3200 (2001). Crossref, Web of Science, ADS, Google Scholar
29. J. Wang, L. Zhao and R. Huang , Phys. A Stat. Mech. Appl. 398, 43 (2014). Crossref, Web of Science, ADS, Google Scholar
30. F. Nian, X. Guo and J. Li , Int. J. Mod. Phys. B 36, 2250005 (2022). Link, Web of Science, ADS, Google Scholar
31. Q. Su, J. Huang and X. Zhao , Phys. A Stat. Mech. Appl. 419, 55 (2015). Crossref, Web of Science, Google Scholar
32. S. Dong , Security and Communication Networks 2021, 6342976 (2021). Web of Science, Google Scholar
33. Y. Tanaka, Y. Sakamoto and T. Matsuka , Toward a social-technological system that inactivates false rumors through the critical thinking of crowds, 2013 46th Hawaii International Conference on System Sciences (IEEE, 2013), pp. 649–658. Crossref, Google Scholar
34. M. B. Matadi , Far East Journal of Applied Mathematics 1, 1 (2014). Google Scholar
35. Y. Liu and S. Xu, IEEE Transactions on Computational Social Systems 3, 46 (2016). Crossref, Web of Science, Google Scholar
36. S. Vosoughi, D. K. Roy and S. Aral , Science 359, 1146 (2018). Crossref, Web of Science, ADS, Google Scholar
37. A. S. Ross and D. J. Rivers , Social Media + Society 4, 2056305118776010 (1998). Google Scholar
38. I. Gaber and C. Fisher , The International Journal of Press/Politics 27, 460 (2022). Crossref, Google Scholar
39. M. S. Al-Rakhami and A. M. Al-Amri , IEEE Access 8, 155961 (2022). Crossref, Google Scholar