activity
20122021
most citedAbsence of the non-percolating phase for percolation on the non-planar Hanoi network

8 citations · 8 across the 1 of their papers we have counts for

collaborators

7 papers

astro-ph.HE2021

Search for neutrinos in coincidence with gravitational wave events from the LIGO-Virgo O3a Observing Run with the Super-Kamiokande detector

Kamiokande collaboration, K. Abe, C. Bronner +209

The Super-Kamiokande detector can be used to search for neutrinos in time coincidence with gravitational waves detected by the LIGO-Virgo Collaboration (LVC). Both low-energy ($7-1…

physics.soc-ph2020

Emergence of Long-Range Correlations in Random Networks

Shogo Mizutaka, Takehisa Hasegawa

We perform an analytical analysis of the long-range degree correlation of the giant component in an uncorrelated random network by employing generating functions. By introducing a…

physics.soc-ph2019

Structure of percolating clusters in random clustered networks

Takehisa Hasegawa, Shogo Mizutaka

We examine the structure of the percolating cluster (PC) formed by site percolation on a random clustered network (RCN) model. Using the generating functions, we formulate the clus…

physics.soc-ph2019

Percolation on a maximally disassortative network

Shogo Mizutaka, Takehisa Hasegawa

We propose a maximally disassortative (MD) network model which realizes a maximally negative degree-degree correlation, and study its percolation transition to discuss the effect o…

physics.soc-ph2018

Observability transitions in clustered networks

Takehisa Hasegawa, Yuta Iwase

We investigate the effect of clustering on network observability transitions. In the observability model introduced by Yang, Wang, and Motter [Phys. Rev. Lett. 109, 258701 (2012)],…

physics.soc-ph2018

Disassortativity of percolating clusters in random networks

Shogo Mizutaka, Takehisa Hasegawa

We provide arguments for the property of the degree-degree correlations of giant components formed by the percolation process on uncorrelated random networks. Using the generating…