A network model with structured nodes
Social and Information Networks
2015-05-20 v1 Computational Engineering, Finance, and Science
Physics and Society
Molecular Networks
Abstract
We present a network model in which words over a specific alphabet, called {\it structures}, are associated to each node and undirected edges are added depending on some distance between different structures. It is shown that this model can generate, without the use of preferential attachment or any other heuristic, networks with topological features similar to biological networks: power law degree distribution, clustering coefficient independent from the network size, etc. Specific biological networks ({\it C. Elegans} neural network and {\it E. Coli} protein-protein interaction network) are replicated using this model.
Cite
@article{arxiv.1011.2336,
title = {A network model with structured nodes},
author = {P. Frisco},
journal= {arXiv preprint arXiv:1011.2336},
year = {2015}
}
Comments
match MRSA gene network not present because MRSA gene network still unpublished