activity
20052008
most citedEvolving networks by merging cliques

26 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

nlin.CG2008

Stabilizing and Destabilizing Effects of Embedding 3-node Subgraphs on State Space of Boolean Networks

Chikoo Oosawa, Michael A. Savageau, Abdul S. Jarrah +2

We demonstrate the effects of embedding subgraphs using a Boolean network, which is one of the discrete dynamical models for transcriptional regulatory networks. After comparing th…

nlin.CG2007★ 1 cited

Effects of feedback and feedforward loops on dynamics of transcriptional regulatory model networks

Chikoo Oosawa, Kazuhiro Takemoto, Michael A. Savageau

We demonstrate the advantages of feedforward loops using a Boolean network, which is one of the discrete dynamical models for transcriptional regulatory networks. After comparing t…

nlin.CG2007★ 4 cited

Roles of hubs in Boolean networks

Chikoo Oosawa

We examined the effects of inhomogeneity on the dynamics and structural properties using Boolean networks. Two different power-law rank outdegree distributions were embedded to det…

physics.soc-ph2007★ 23 cited

Structure of n-clique networks embedded in a complex network

Kazuhiro Takemoto, Chikoo Oosawa, Tatsuya Akutsu

We propose the n-clique network as a powerful tool for understanding global structures of combined highly-interconnected subgraphs, and provide theoretical predictions for statisti…

nlin.CG2006★ 4 cited

Local cause of coherence in Boolean networks

Chikoo Oosawa, Kazuhiro Takemoto, Shogo Matsumoto +1

We performed a numerical study on random Boolean networks with power-law rank outdegree distributions to find local structural cause for the emergence of high or low degree of cohe…

q-bio.MN2006

Modeling for evolving biological networks with scale-free connectivity, hierarchical modularity, and disassortativity

Kazuhiro Takemoto, Chikoo Oosawa

We propose a growing network model that consists of two tunable mechanisms: growth by merging modules which are represented as complete graphs and a fitness-driven preferential att…