Model of information diffusion
D.V. Lande

TL;DR
This paper models information diffusion using cellular automata, showing that news spread follows a bell-shaped pattern consistent with real data flows and classical models like exponential and logistic functions.
Contribution
It introduces a cellular automata-based model for news dissemination that aligns with observed data flow behaviors and classical diffusion models.
Findings
News diffusion follows a bell-shaped curve.
The model aligns with exponential and logistic diffusion models.
It reflects real-world data flow behaviors.
Abstract
The system of cellular automata, which expresses the process of dissemination and publication of the news among separate information resources, has been described. A bell-shaped dependence of news diffusion on internet-sources (web-sites) coheres well with a real behavior of thematic data flows, and at local time spans - with noted models, e.g., exponential and logistic ones.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques
