activity
20192025
most citedMean-field theory for double-well systems on degree-heterogeneous networks

12 citations · 24 across the 11 of their papers we have counts for

collaborators

11 papers

physics.soc-ph2025

Using covariance of node states to design early warning signals for network dynamics

Shilong Yu, Neil G. MacLaren, Naoki Masuda

Real-life systems often experience regime shifts. An early warning signal (EWS) is a quantity that attempts to anticipate such a regime shift. Because complex systems of practical…

physics.soc-ph2024★ 1 cited

Applicability of spatial early warning signals to complex network dynamics

Neil G. MacLaren, Kazuyuki Aihara, Naoki Masuda

Early warning signals (EWSs) for complex dynamical systems aim to anticipate tipping points before they occur. While signals computed from time series data, such as temporal varian…

physics.soc-ph2024★ 4 cited

Observing network dynamics through sentinel nodes

Neil G. MacLaren, Baruch Barzel, Naoki Masuda

A fundamental premise of statistical physics is that the particles in a physical system are interchangeable, and hence the state of each specific component is representative of the…

cs.SI2023★ 1 cited

Effects of Network Connectivity and Functional Diversity Distribution on Human Collective Ideation

Yiding Cao, Yingjun Dong, Minjun Kim +5

Human collective tasks in teams and organizations increasingly require participation of members with diverse backgrounds working in networked social environments. However, little i…

cs.SI2023

Generation and Influence of Eccentric Ideas on Social Networks

Sriniwas Pandey, Yiding Cao, Yingjun Dong +5

Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the…

physics.soc-ph2023★ 2 cited

Cooperation and the social brain hypothesis in primate social networks

Neil G. MacLaren, Lingqi Meng, Melissa Collier +1

The social brain hypothesis states that the relative size of the neocortex is larger for species with higher social complexity as a result of evolution. Various lines of empirical…

physics.soc-ph2022

Early Warnings for Multistage Transitions in Dynamics on Networks

Neil G. MacLaren, Prosenjit Kundu, Naoki Masuda

Successfully anticipating sudden major changes in complex systems is a practical concern. Such complex systems often form a heterogeneous network, which may show multistage transit…

physics.soc-ph2022★ 12 cited

Mean-field theory for double-well systems on degree-heterogeneous networks

Prosenjit Kundu, Neil G. MacLaren, Hiroshi Kori +1

Many complex dynamical systems in the real world, including ecological, climate, financial, and power-grid systems, often show critical transitions, or tipping points, in which the…

cs.SI2021★ 3 cited

Visualizing Collective Idea Generation and Innovation Processes in Social Networks

Yiding Cao, Yingjun Dong, Minjun Kim +5

Collective idea generation and innovation processes are complex and dynamic, involving a large amount of qualitative narrative information that is difficult to monitor, analyze, an…

eess.AS2020

Utterance Clustering Using Stereo Audio Channels

Yingjun Dong, Neil G. MacLaren, Yiding Cao +6

Utterance clustering is one of the actively researched topics in audio signal processing and machine learning. This study aims to improve the performance of utterance clustering by…

cs.SI2019★ 1 cited

Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization

Yiding Cao, Yingjun Dong, Minjun Kim +5

Collective design and innovation are crucial in organizations. To investigate how the collective design and innovation processes would be affected by the diversity of knowledge and…