activity
20062023
most citedDynamics of competing ideas in complex social systems

62 citations · 190 across the 24 of their papers we have counts for

collaborators

25 papers

eess.SY2023★ 1 cited

Sufficient Control of Complex Networks

Xiang Li, Guoqi Li, Leitao Gao +2

In this paper, we propose to study on sufficient control of complex networks which is to control a sufficiently large portion of the network, where only the quantity of controllabl…

eess.SY2020

Self-Triggered Scheduling for Boolean Control Networks

Min Meng, Gaoxi Xiao, Daizhan Cheng

It has been shown that self-triggered control has the ability to reduce computational loads and deal with the cases with constrained resources by properly setting up the rules for…

cs.SI2020

Effects of Initial State on Opinion Formation in Complex Social Networks with Noises

Yi Yu, Vu X. Nguyen, Gaoxi Xiao

Opinion formation in complex social networks may exhibit complex system dynamics even when based on some simplest system evolution models. An interesting and important issue is the…

physics.soc-ph2019

Crash dynamics of interdependent networks

Jie Li, Chengyi Xia, Gaoxi Xiao +1

The emergence and evolution of real-world systems have been extensively studied in the last few years. However, equally important phenomena are related to the dynamics of systems'…

eess.SY2019★ 2 cited

Towards a Universal Approach for Identifying Cascading Failures of Power Grids

Chao Zhai, Gaoxi Xiao, Hehong Zhang +1

Due to the evolving nature of power systems and the complicated coupling relationship of power devices, it has been a great challenge to identify the contingencies that could trigg…

eess.SY2019

Identification and Analysis of Cascading Failures in Power Grids with Protective Actions

Chao Zhai, Gaoxi Xiao, Hehong Zhang

This paper aims to identify and analyze the initial contingencies or disturbances that could lead to the worst-case cascading failures of power grids. An optimal control approach i…

eess.SY2019★ 1 cited

Contingency Identification of Cascading Failures in Power Transmission Networks

Chao Zhai, Hehong Zhang, Gaoxi Xiao +1

Due to the evolving nature of power systems and the complicated coupling relationship of power devices, it has been a great challenge to identify the contingencies that could trigg…

eess.SY2018★ 2 cited

Target Control of Directed Networks based on Network Flow Problems

Guoqi Li, Xumin Chen, Pei Tang +3

Target control of directed networks, which aims to control only a target subset instead of the entire set of nodes in large natural and technological networks, is an outstanding ch…

eess.SY2018★ 2 cited

Risk Identification of Power Transmission System with Renewable Energy

Chao Zhai, Gaoxi Xiao, Hehong Zhang +1

This paper aims to investigate the risk identification problem of power transmission system that is integrated with renewable energy sources. In practice, the fluctuation of power…

eess.SY2018

Cooperative Control of TCSC to Relieve the Stress of Cyber-physical Power System

Chao Zhai, Gaoxi Xiao, Hehong Zhang +1

This paper addresses the cooperative control problem of Thyristor-Controlled Series Compensation (TCSC) to eliminate the stress of cyber-physical power system. The cyber-physical p…

math.OC2017

Distributed Sweep Coverage Algorithm of Multi-agent Systems Using Workload Memory

Chao Zhai

This paper addresses the sweep coverage problem of multi-agent systems in uncertain regions. A new formulation of distributed sweep coverage is proposed to cooperatively complete t…

math.OC2017★ 8 cited

A Model Predictive Approach to Preventing Cascading Failures of Power Systems

Chao Zhai, Hehong Zhang, Gaoxi Xiao +1

Power system blackouts are usually triggered by the initial contingency and then deteriorate as the branch outage spreads quickly. Thus, it is crucial to eliminate the propagation…

math.OC2017★ 2 cited

Comparing Different Models for Investigating Cascading Failures in Power Systems

Chao Zhai, Hehong Zhang, Gaoxi Xiao +1

This paper centers on the comparison of three different models that describe cascading failures of power systems. Specifically, these models are different in characterizing the phy…

eess.SY2017★ 5 cited

Identifying Critical Risks of Cascading Failures in Power Systems

Hehong Zhang, Chao Zhai, Gaoxi Xiao +1

Potential critical risks of cascading failures in power systems can be identified by exposing those critical electrical elements on which certain initial disturbances may cause max…

eess.SY2017★ 12 cited

Modeling and Identification of Worst-Case Cascading Failures in Power Systems

Chao Zhai, Hehong Zhang, Gaoxi Xiao +1

Cascading failures in power systems normally occur as a result of initial disturbance or faults on electrical elements, closely followed by errors of human operators. It remains a…

physics.soc-ph2017★ 1 cited

Preliminary Study on Bit-String Modelling of Opinion Formation in Complex Networks

Yi Yu, Gaoxi Xiao

Opinion formation has been gaining increasing research interests recently, and various models have been proposed. These models, however, have their limitations, among which noticea…

cs.SI2017

Influence of random opinion change in complex networks

Yi Yu, Gaoxi Xiao

Opinion formation in the population has attracted extensive research interest. Various models have been introduced and studied, including the ones with individuals' free will allow…

physics.soc-ph2017★ 28 cited

Opinion diversity and community formation in adaptive networks

Yi Yu, Gaoxi Xiao, Guoqi Li +2

It is interesting and of significant importance to investigate how network structures co-evolve with opinions. The existing models of such co-evolution typically lead to the final…

cs.SI2016★ 25 cited

The robustness of interdependent networks under the interplay between cascading failures and virus propagation

Dawei Zhao, Zhen Wang, Gaoxi Xiao +2

Cascading failures and epidemic dynamics, as two successful application realms of network science, are usually investigated separately. How do they affect each other is still one o…

physics.soc-ph2014★ 2 cited

Network infection source identification under the SIRI model

Wuhua Hu, Wee Peng Tay, Athul Harilal +1

We study the problem of identifying a single infection source in a network under the susceptible-infected-recovered-infected (SIRI) model. We describe the infection model via a sta…

physics.soc-ph2013★ 15 cited

Link-based formalism for time evolution of adaptive networks

Jie Zhou, Gaoxi Xiao, Guanrong Chen

Network topology and nodal dynamics are two fundamental stones of adaptive networks. Detailed and accurate knowledge of these two ingredients is crucial for understanding the evolu…

physics.soc-ph2011★ 10 cited

Effects of fear factors in disease propagation

Yubo Wang, Gaoxi Xiao, Limsoon Wong +3

Upon an outbreak of a dangerous infectious disease, people generally tend to reduce their contacts with others in fear of getting infected. Such typical actions apparently help slo…

physics.soc-ph2011★ 62 cited

Dynamics of competing ideas in complex social systems

Yubo Wang, Gaoxi Xiao, Jian Liu

Individuals accepting an idea may intentionally or unintentionally impose influences in a certain neighborhood area, making other individuals within the area less likely or even im…

cs.PF2006★ 8 cited

On Degree-Based Decentralized Search in Complex Networks

Shi Xiao, Gaoxi Xiao

Decentralized search aims to find the target node in a large network by using only local information. The applications of it include peer-to-peer file sharing, web search and anyth…