Bursty switching dynamics promotes the collapse of network topologies DOI
Ziyan Zeng, Minyu Feng, Matjaž Perc

et al.

Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2025, Volume and Issue: 481(2310)

Published: March 1, 2025

Time-varying connections are crucial in understanding the structures and dynamics of complex networks. In this paper, we propose a continuous-time switching topology model for temporal networks that driven by bursty behaviour study effects on network structure dynamic processes. Each edge can switch between an active dormant state, leading to intermittent activation patterns characterized renewal process. We analyse stationarity scale emerging degree distributions means Markov chain theory. show promote collapse topologies reducing heterogeneities forming isolated components underlying network. Our results indicate significantly influence random walks different cooperation donation games. research thus provides simple quantitative framework with interactions across social technological

Language: Английский

Evolutionary games for cooperation in open data management DOI
Tina P. Benko, Bin Pi, Qin Li

et al.

Applied Mathematics and Computation, Journal Year: 2025, Volume and Issue: 496, P. 129364 - 129364

Published: Feb. 19, 2025

Language: Английский

Citations

3
The evolution of cooperation and punishment in spatial public goods games with bribery DOI
Rui Ding, Xianjia Wang,

Ji Quan

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116135 - 116135

Published: Feb. 15, 2025

Language: Английский

Citations

0
On evolution of agent behavior under limited gaming time with reinforcement learning DOI
Dandan Li,

Qingrong Wu,

Dun Han

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 194, P. 116166 - 116166

Published: Feb. 25, 2025

Language: Английский

Citations

0
Bursty switching dynamics promotes the collapse of network topologies DOI
Ziyan Zeng, Minyu Feng, Matjaž Perc

et al.

Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2025, Volume and Issue: 481(2310)

Published: March 1, 2025

Time-varying connections are crucial in understanding the structures and dynamics of complex networks. In this paper, we propose a continuous-time switching topology model for temporal networks that driven by bursty behaviour study effects on network structure dynamic processes. Each edge can switch between an active dormant state, leading to intermittent activation patterns characterized renewal process. We analyse stationarity scale emerging degree distributions means Markov chain theory. show promote collapse topologies reducing heterogeneities forming isolated components underlying network. Our results indicate significantly influence random walks different cooperation donation games. research thus provides simple quantitative framework with interactions across social technological

Language: Английский

Citations

0