A mathematical model for predicting the spread and detection of rumors in online communities
DOI:
https://doi.org/10.35335/cit.Vol15.2024.715.pp291-296Keywords:
Control strategy, Mathematical model, Numerical simulation, Online community, Rumor spreadingAbstract
This study investigates the development of a mathematical model to predict the spread and suppression of rumors in online communities. Through mathematical formulation and numerical simulation, the dynamics of rumor spreading are explored by considering factors such as transmission and suppression rates, as well as strategic interventions such as early detection and information intervention. The results show that the model can provide valuable insights into rumor spreading behavior and the effectiveness of control strategies. The findings can support efforts to reduce the negative impact of rumor spreading in online environments and promote healthier and safer online communities.
Downloads
References
A. E. Fard, M. Mohammadi, Y. Chen, and B. Van de Walle, “Computational rumor detection without non-rumor: A one-class classification approach,” IEEE Trans. Comput. Soc. Syst., vol. 6, no. 5, pp. 830–846, 2019.
A. E. Fard and T. Verma, “A comprehensive review on countering rumours in the age of online social media platforms,” Causes Symptoms Socio-Cultural Polariz. Role Inf. Commun. Technol., pp. 253–284, 2022.
S. Srinivasan and D. B. LD, “A social immunity based approach to suppress rumors in online social networks,” Int. J. Mach. Learn. Cybern., vol. 12, pp. 1281–1296, 2021.
K. Bettache and C. Chiu, “The invisible hand is an ideology: Toward a social psychology of neoliberalism,” J. Soc. Issues, vol. 75, no. 1, pp. 8–19, 2019.
D. Godini? and B. Obrenovic, “Effects of economic uncertainty on mental health in the COVID-19 pandemic context: social identity disturbance, job uncertainty and psychological well-being model,” 2020.
M. Deddy Satria, “The Phenomenon of Fake News (Hoax) in Mass Communication: Causes, Impacts, and Solutions,” Open Access Indones. J. Soc. Sci., vol. 6, no. 3, pp. 980–988, 2023.
P. Meel and D. K. Vishwakarma, “Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities,” Expert Syst. Appl., vol. 153, p. 112986, 2020.
E. Accinelli, L. Quintas, and H. Muñiz, “Rumors’ spread: A game theoretical approach with the replicator dynamics,” J. Dyn. Games, vol. 10, no. 1, pp. 11–23, 2023.
M. Ahsan, M. Kumari, and T. P. Sharma, “Rumors detection, verification and controlling mechanisms in online social networks: A survey,” Online Soc. Networks Media, vol. 14, p. 100050, 2019.
L. Zhu, M. Zhou, and Z. Zhang, “Dynamical analysis and control strategies of rumor spreading models in both homogeneous and heterogeneous networks,” J. Nonlinear Sci., vol. 30, pp. 2545–2576, 2020.
Y. Wang, M. McKee, A. Torbica, and D. Stuckler, “Systematic literature review on the spread of health-related misinformation on social media,” Soc. Sci. Med., vol. 240, p. 112552, 2019.
Y.-C. Shen, C. T. Lee, L.-Y. Pan, and C.-Y. Lee, “Why people spread rumors on social media: developing and validating a multi-attribute model of online rumor dissemination,” Online Inf. Rev., vol. 45, no. 7, pp. 1227–1246, 2021.
K. J. Painter, “Mathematical models for chemotaxis and their applications in self-organisation phenomena,” J. Theor. Biol., vol. 481, pp. 162–182, 2019.
F. E. Ahmed, R. Hashaikeh, A. Diabat, and N. Hilal, “Mathematical and optimization modelling in desalination: State-of-the-art and future direction,” Desalination, vol. 469, p. 114092, 2019.
S. Hosseini and A. Zandvakili, “Information dissemination modeling based on rumor propagation in online social networks with fuzzy logic,” Soc. Netw. Anal. Min., vol. 12, no. 1, p. 34, 2022.
G. Shrivastava, P. Kumar, R. P. Ojha, P. K. Srivastava, S. Mohan, and G. Srivastava, “Defensive modeling of fake news through online social networks,” IEEE Trans. Comput. Soc. Syst., vol. 7, no. 5, pp. 1159–1167, 2020.
A. I. E. Hosni, “Minimizing rumor influence in multiplex online social networks based on human individual and social behaviors,” Inf. Sci. (Ny)., vol. 512, pp. 1458–1480, 2020, doi: 10.1016/j.ins.2019.10.063.
A. I. E. Hosni, “Minimizing the influence of rumors during breaking news events in online social networks,” Knowledge-Based Syst., vol. 193, 2020, doi: 10.1016/j.knosys.2019.105452.
S. Zannettou, M. Sirivianos, J. Blackburn, and N. Kourtellis, “The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans,” J. Data Inf. Qual., vol. 11, no. 3, pp. 1–37, 2019.
J. Manurung, P. Sihombing, and M. A. Budiman, “Dynamic Rumor Control in Social Networks Using Temporal Graph Neural Networks,” in 2023 International Conference of Computer Science and Information Technology (ICOSNIKOM), 2023, pp. 1–5.
M. Askarizadeh, B. T. Ladani, and M. H. Manshaei, “An evolutionary game model for analysis of rumor propagation and control in social networks,” Phys. A Stat. Mech. its Appl., vol. 523, pp. 21–39, 2019.
S. Funk, M. Salathé, and V. A. A. Jansen, “Modelling the influence of human behaviour on the spread of infectious diseases: a review,” J. R. Soc. Interface, vol. 7, no. 50, pp. 1247–1256, 2010.
S. M. Alzanin and A. M. Azmi, “Detecting rumors in social media: A survey,” Procedia Comput. Sci., vol. 142, pp. 294–300, 2018.
H. G. Lee, J. Park, S. Yoon, C. Lee, and J. Kim, “Mathematical model and numerical simulation for tissue growth on bioscaffolds,” Appl. Sci., vol. 9, no. 19, p. 4058, 2019.
N. Parolini and A. Quarteroni, “Mathematical models and numerical simulations for the America’s Cup,” Comput. Methods Appl. Mech. Eng., vol. 194, no. 9–11, pp. 1001–1026, 2005.
Y. Xiao, Q. Yang, C. Sang, and Y. Liu, “Rumor diffusion model based on representation learning and anti-rumor,” IEEE Trans. Netw. Serv. Manag., vol. 17, no. 3, pp. 1910–1923, 2020.
Y. Liu and S. Xu, “Detecting rumors through modeling information propagation networks in a social media environment,” IEEE Trans. Comput. Soc. Syst., vol. 3, no. 2, pp. 46–62, 2016.
Y. Xiao, W. Li, S. Qiang, Q. Li, H. Xiao, and Y. Liu, “A rumor & anti-rumor propagation model based on data enhancement and evolutionary game,” IEEE Trans. Emerg. Top. Comput., vol. 10, no. 2, pp. 690–703, 2020.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Nur Ahlina, Agung Wahyudi, Bayu Setyawan, Iman Sapuguh, Adinda Sandra Rosalinda
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
