Network rumor propagation model based on the principles of drought propagation

Fei Yu; Fengming Liu

doi:10.1117/12.3038170

7 August 2024 Network rumor propagation model based on the principles of drought propagation

Fei Yu, Fengming Liu

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 1322917 (2024) https://doi.org/10.1117/12.3038170
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

Rumor propagation is affected by various factors, and its mechanism is still under exploration. Based on the principle of drought propagation, this paper added rumor deniers to the classical rumor propagation model, and established a CDTR propagation model of network rumors. Then the model parameters were analyzed to explore the influencing factors in the process of rumor propagation. The experimental results show that rumor deniers play a very important role in inhibiting the spread of rumors. That is,government departments should increase positive intervention or official media should increase the spread of true information to increase the proportion of rumor deniers, so as to achieve the purpose of rumor governance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fei Yu and Fengming Liu "Network rumor propagation model based on the principles of drought propagation", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 1322917 (7 August 2024); https://doi.org/10.1117/12.3038170

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available