2007/04/30 by Volkan Sevim, Volkan Sevi̇m, Per Arne Rikvold
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Plant and animal studies #cond-mat.stat-mech #q-bio.PE
paper · pdf · doi:10.1016/j.physa.2008.01.034
published as Physica A, Volume 387, Issue 11, 2631-2636 (2008)
openalex publication_date 2008/01/12 · arxiv created 2008/03/17 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We study the growth of a directed transportation network, such as a food web, in which links carry resources. We propose a growth process in which new nodes (or species) preferentially attach to existing nodes with high indegree (in food-web language, number of prey) and low outdegree (or number of predators). This scheme, which we call inverse preferential attachment, is intended to maximize the amount of resources available to each new node. We show that the outdegree (predator) distribution decays at least exponentially fast for large outdegree and is continuously tunable between an exponential distribution and a delta function. The indegree (prey) distribution is poissonian in the large-network limit.