Simplified Computational Model for Generating Biological Networks

Abstract

<p>A method to generate and simulate biological networks is discussed. An expanded Wooten-Winer-Weaire bond switching methods</p><p>is proposed which allows for</p><p>a distribution of node degrees in the network while conserving the mean average node degree.</p><p>The networks are characterised in terms of their polygon structure and assortativities (a measure</p><p>of local ordering). A wide range of experimental images are analysed and the underlying networks</p><p>quantified in an analogous manner. Limitations in obtaining the network structure are discussed.</p><p>A "network landscape" of the experimentally observed and simulated networks is constructed from the underlying metrics.</p><p>The enhanced bond switching algorithm is able to generate networks spanning the full range of experimental observations.</p>