Self-Assembly of Information in Networks
Physics and Society
2007-05-23 v1 Disordered Systems and Neural Networks
Abstract
We model self-assembly of information in networks to investigate necessary conditions for building a global perception of a system by local communication. Our approach is to let agents chat in a model system to self-organize distant communication-pathways. We demonstrate that simple local rules allow agents to build a perception of the system, that is robust to dynamical changes and mistakes. We find that messages are most effectively forwarded in the presence of hubs, while transmission in hub-free networks is more robust against misinformation and failures.
Cite
@article{arxiv.physics/0603218,
title = {Self-Assembly of Information in Networks},
author = {M. Rosvall and K. Sneppen},
journal= {arXiv preprint arXiv:physics/0603218},
year = {2007}
}
Comments
4 pages and 4 figures, Java simulation available at http://cmol.nbi.dk/models/infoflow/infoflow.html