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

41 citations · 209 across the 9 of their papers we have counts for

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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★ 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.SI2024★ 12 cited

The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold

Gui Zhang, Yichao Yao, Ziyan Zeng +2

Reputation and punishment are significant guidelines for regulating individual behavior in human society, and those with a good reputation are more likely to be imitated by others.…

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★ 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★ 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…