activity
20242026
most citedAn Evolutionary Game With the Game Transitions Based on the Markov Process

73 citations · 424 across the 16 of their papers we have counts for

collaborators
Showing cs.SIShow all

10 papers · 1 filter

cs.SI2026★ 2 cited

Fixed-Size Dynamic Scale-Free Networks: Modeling, Stationarity, and Resilience

Yichao Yao, Minyu Feng, Matjaž Perc +1

Many real-world scale-free networks, such as neural networks and online communication networks, consist of a fixed number of nodes but exhibit dynamic edge fluctuations. However, t…

cs.SI2025★ 8 cited

Evolutionary Dynamics with Self-Interaction Learning in Networked Systems

Ziyan Zeng, Minyu Feng, Attila Szolnoki

The evolution of cooperation in networked systems helps to understand the dynamics in social networks, multi-agent systems, and biological species. The self-persistence of individu…

cs.SI2025★ 6 cited

SIS Epidemic Modelling on Homogeneous Networked System: General Recovering Process and Mean-Field Perspective

Jiexi Tang, Yichao Yao, Meiling Xie +1

Although we have made progress in understanding disease spread in complex systems with non-Poissonian activity patterns, current models still fail to capture the full range of reco…

cs.SI2025★ 36 cited

Complex Network Modelling with Power-law Activating Patterns and Its Evolutionary Dynamics

Ziyan Zeng, Minyu Feng, Pengfei Liu +1

Complex network theory provides a unifying framework for the study of structured dynamic systems. The current literature emphasizes a widely reported phenomenon of intermittent int…

cs.SI2025★ 73 cited

An Evolutionary Game With the Game Transitions Based on the Markov Process

Minyu Feng, Bin Pi, Liang-Jian Deng +1

The psychology of the individual is continuously changing in nature, which has a significant influence on the evolutionary dynamics of populations. To study the influence of the co…

cs.SI2024★ 20 cited

Temporal network modeling with online and hidden vertices based on the birth and death process

Ziyan Zeng, Minyu Feng, Jürgen Kurths

Complex networks have played an important role in describing real complex systems since the end of the last century. Recently, research on real-world data sets reports intermittent…

cs.SI2024★ 14 cited

Evolving Network Modeling Driven by the Degree Increase and Decrease Mechanism

Yuhan Li, Minyu Feng, Jürgen Kurths

Ever since the Barabási-Albert (BA) scale-free network has been proposed, network modeling has been studied intensively in light of the network growth and the preferential attachme…

cs.SI2024★ 40 cited

Protection Degree and Migration in the Stochastic SIRS Model: A Queueing System Perspective

Yuhan Li, Ziyan Zeng, Minyu Feng +1

With the prevalence of COVID-19, the modeling of epidemic propagation and its analyses have played a significant role in controlling epidemics. However, individual behaviors, in pa…

cs.SI2024★ 59 cited

The impact of nodes of information dissemination on epidemic spreading in dynamic multiplex networks

Minyu Feng, Xiangxi Li, Yuhan Li +1

Epidemic spreading processes on dynamic multiplex networks provide a more accurate description of natural spreading processes than those on single layered networks. To describe the…

cs.SI2024★ 41 cited

Information Dynamics in Evolving Networks Based on the Birth-Death Process: Random Drift and Natural Selection Perspective

Minyu Feng, Ziyan Zeng, Qin Li +2

Dynamic processes in complex networks are crucial for better understanding collective behavior in human societies, biological systems, and the internet. In this paper, we first foc…