output
20142024
most citedJets from MRC 0600-399 bent by magnetic fields in the cluster Abell 3376

38 citations

Showing physics.soc-phShow all

6 papers · 1 filter

physics.soc-ph2023★ 1 cited

Information cascade on networks and phase transitions

Masato Hisakado, Kazuaki Nakayama, Shintaro Mori

Herein, we consider a voting model for information cascades on several types of networks -- a random graph, the Barabási-Albert(BA) model, and lattice networks -- by using one para…

physics.soc-ph2020

Optimal Learning Dynamics of Multi Agents in Restless Multiarmed Bandit Game

Kazuaki Nakayama, Ryuzo Nakamura, Masato Hisakado +1

Social learning is learning through the observation of or interaction with other individuals; it is critical in the understanding of the collective behaviors of humans in social ph…

physics.soc-ph2018★ 15 cited

A voter model on networks and multivariate beta distribution

Shintaro Mori, Masato Hisakado, Kazuaki Nakayama

In elections, the vote shares or turnout rates show a strong spatial correlation. The logarithmic decay with distance suggests that a 2D noisy diffusive equation describes the syst…

physics.soc-ph2017★ 5 cited

The Pitman-Yor process and an empirical study of choice behavior

Masato Hisakado, Fumiaki Sano, Shintaro Mori

This study discusses choice behavior using a voting model in which voters can obtain information from a finite number of previous voters. Voters vote for a candidate with a pro…

physics.soc-ph2015★ 11 cited

Information cascade on networks

Masato Hisakado, Shintaro Mori

In this paper, we discuss a voting model by considering three different kinds of networks: a random graph, the Barabási-Albert(BA) model, and a fitness model. A voting model repres…

physics.soc-ph2014★ 22 cited

Information cascade, Kirman's ant colony model, and kinetic Ising model

Masato Hisakado, Shintaro Mori

In this paper, we discuss a voting model in which voters can obtain information from a finite number of previous voters. There exist three groups of voters: (i) digital herders and…