activity
19952017
most citedExchange Monte Carlo Method and Application to Spin Glass Simulations

2.5k citations · 2.9k across the 25 of their papers we have counts for

collaborators

25 papers

physics.soc-ph2017★ 17 cited

Efficiency of prompt quarantine measures on a susceptible-infected-removed model in networks

Takehisa Hasegawa, Koji Nemoto

This study focuses on investigating the manner in which a prompt quarantine measure suppresses epidemics in networks. A simple and ideal quarantine measure is considered in which a…

physics.soc-ph2016★ 10 cited

Sudden spreading of infections in an epidemic model with a finite seed fraction

Takehisa Hasegawa, Koji Nemoto

We study a simple case of the susceptible-weakened-infected-removed model in regular random graphs in a situation where an epidemic starts from a finite fraction of initially infec…

cond-mat.stat-mech2016★ 5 cited

Local cluster-size statistics in the critical phase of bond percolation on the Cayley tree

Tomoaki Nogawa, Takehisa Hasegawa, Koji Nemoto

We study bond percolation of the Cayley tree (CT) by focusing on the probability distribution function (PDF) of a local variable, namely, the size of the cluster including a select…

physics.soc-ph2015★ 24 cited

Outbreaks in susceptible-infected-removed epidemics with multiple seeds

Takehisa Hasegawa, Koji Nemoto

We study a susceptible-infected-removed (SIR) model with multiple seeds on a regular random graph. Many researchers have studied the epidemic threshold of epidemic models above whi…

cond-mat.dis-nn2014★ 6 cited

Critical Phase in Complex Networks: a Numerical Study

Takehisa Hasegawa, Tomoaki Nogawa, Koji Nemoto

We compare phase transition and critical phenomena of bond percolation on Euclidean lattices, nonamenable graphs, and complex networks. On a Euclidean lattice, percolation shows a…

cond-mat.dis-nn2013★ 15 cited

Hierarchical scale-free network is fragile against random failure

Takehisa Hasegawa, Koji Nemoto

We investigate site percolation in a hierarchical scale-free network known as the Dorogovtsev- Goltsev-Mendes network. We use the generating function method to show that the percol…