137 citations · 278 across the 6 of their papers we have counts for
6 papers
Explosive percolation in thresholded networks
Satoru Hayasaka
Explosive percolation in a network is a phase transition where a large portion of nodes becomes connected with an addition of a small number of edges. Although extensively studied…
The ubiquity of small-world networks
Qawi K. Telesford, Karen E. Joyce, Satoru Hayasaka +2
Small-world networks by Watts and Strogatz are a class of networks that are highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.…
Assessing the consistency of community structure in complex networks
Matthew Steen, Satoru Hayasaka, Karen Joyce +1
In recent years, community structure has emerged as a key component of complex network analysis. As more data has been collected, researchers have begun investigating changing comm…
Universal fractal scaling of self-organized networks
Paul J. Laurienti, Karen E. Joyce, Qawi K. Telesford +2
There is an abundance of literature on complex networks describing a variety of relationships among units in social, biological, and technological systems. Such networks, consistin…
Exponential Random Graph Modeling for Complex Brain Networks
Sean L. Simpson, Satoru Hayasaka, Paul J. Laurienti
Exponential random graph models (ERGMs), also known as p* models, have been utilized extensively in the social science literature to study complex networks and how their global str…
Degree distributions in mesoscopic and macroscopic functional brain networks
Satoru Hayasaka, Paul J. Laurienti
We investigated the degree distribution of brain networks extracted from functional magnetic resonance imaging of the human brain. In particular, the distributions are compared bet…