Reinforcement learning approach for robustness analysis of complex networks with incomplete information

M Tian, Z Dong, X Wang - Chaos, Solitons & Fractals, 2021 - Elsevier
Network robustness against sequential attacks is significant for complex networks. However,
it is generally assumed that complete information of complex networks is obtained and …

Link prediction based on path entropy

Z Xu, C Pu, J Yang - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
Abstract Information theory has been taken as a prospective tool for quantifying the
complexity of complex networks. In this paper, first we study the information entropy or …

Identifying critical nodes' group in complex networks

ZY Jiang, Y Zeng, ZH Liu, JF Ma - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Recently, network vulnerability or security has attracted much attention in various networked
systems, and especially in security related attacks or protections, there are a set of influential …

Coping with abnormal organizational behaviors in complex project based on network attack theory

L Yang, X Lv, X Zhao - Engineering, Construction and Architectural …, 2024 - emerald.com
Purpose Abnormal behaviors such as rework, backlog, changes and claims generated by
project organizations are unavoidable in complex projects. When abnormal behaviors …

[HTML][HTML] Information theory perspective on network robustness

TA Schieber, L Carpi, AC Frery, OA Rosso… - Physics Letters A, 2016 - Elsevier
A crucial challenge in network theory is the study of the robustness of a network when facing
a sequence of failures. In this work, we propose a dynamical definition of network …

Aspiration-induced dormancy promotes cooperation in the spatial prisoner's dilemma games

YS Chen, HX Yang, WZ Guo - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
An interesting phenomenon is often observed in realistic systems. In the process of games, if
the expected payoff from game interactions is not achieved, players would refuse to …

Robustness of open source product innovation community's knowledge collaboration network under the dynamic environment

H Zhou, X Zhang, Y Hu - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
As a complex system with open characteristics, the open source product innovation
community is often subjected to failures and attacks, and the users in the community are …

Cascade phenomenon against subsequent failures in complex networks

ZY Jiang, ZQ Liu, X He, JF Ma - Physica A: Statistical Mechanics and Its …, 2018 - Elsevier
Cascade phenomenon may lead to catastrophic disasters which extremely imperil the
network safety or security in various complex systems such as communication networks …

Promotion of cooperation by payoff-driven migration

YS Chen, HX Yang, WZ Guo - Physica A: Statistical Mechanics and its …, 2016 - Elsevier
Migration plays an important role in the evolution of cooperation. Previous studies
concerning mobile population often assumed that all agents move with the identical velocity …

Vulnerability of complex networks under three-level-tree attacks

Y Hao, J Han, Y Lin, L Liu - Physica A: Statistical Mechanics and its …, 2016 - Elsevier
We investigate vulnerability of complex networks including model networks and real world
networks subject to three-level-tree attack. Specifically, we remove three different three-level …