Introducing individual biases, trust, and information freshness for competitive information diffusion model in social networks
Year: 2025
Type: article
Abstract: This paper analyzes information diffusion, focusing mainly on competitive information within social networks. We introduce realistic factors, namely, the polarity of an individual towards a particular information, the level of trust between persons, and the decaying freshness of information in the network. We presented a model by incorporating these factors with the Susceptible-Infected-Recovered (SIR) model as a basis. We developed a web-based interface to simulate the model on user-uploaded graphs. The application simulates the spread of information based on the values of the user-defined parameters and generates a comprehensive visual report. Provision for simultaneously submitting multiple simulation jobs is also provided. We reported experimental results on several synthetic and real-world networks using the developed simulation platform.
Source: Discover Data
Authors: Soumil Sinha, Jahnab Dutta, Anggy Eka Pratiwi, Suman Kundu
Institution: Indian Institute of Technology Jodhpur
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,390
Funder: Ministry of Education, India
OpenAlex ID: W4416731672