45 citations · 126 across the 11 of their papers we have counts for
11 papers
Chaotic Gene Regulatory Networks Can Be Robust Against Mutations and Noise
Volkan Sevim, Per Arne Rikvold
Robustness to mutations and noise has been shown to evolve through stabilizing selection for optimal phenotypes in model gene regulatory networks. The ability to evolve robust muta…
Unbiased Random Threshold Networks Are Chaotic or Critical
Volkan Sevim, Per Arne Rikvold
This paper has been withdrawn.
Network Growth with Preferential Attachment for High Indegree and Low Outdegree
Volkan Sevim, Per Arne Rikvold
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) preferenti…
Are Genetically Robust Regulatory Networks Dynamically Different from Random Ones?
Volkan Sevim, Per Arne Rikvold
We study a genetic regulatory network model developed to demonstrate that genetic robustness can evolve through stabilizing selection for optimal phenotypes. We report preliminary…
An individual-based predator-prey model for biological coevolution: Fluctuations, stability, and community structure
Per Arne Rikvold, Volkan Sevim
We study an individual-based predator-prey model of biological coevolution, using linear stability analysis and large-scale kinetic Monte Carlo simulations. The model exhibits appr…
Effects of Preference for Attachment to Low-degree Nodes on the Degree Distributions of a Growing Directed Network and a Simple Food-Web Model
Volkan Sevim, Per Arne Rikvold
We study the growth of a directed network, in which the growth is constrained by the cost of adding links to the existing nodes. We propose a new preferential-attachment scheme, in…