output
20112026
most citedTemporal and spatial evolution of the distribution related to the number of COVID-19 pandemic

11 citations

10 papers

physics.soc-ph2026★ 2 cited

Payoff-Driven Coevolution and Oscillatory Dynamics in Hypergraph

Yichao Yao, Yuji Zhang, Juan Wu +2

We study a coevolutionary public goods game on a dynamic hypergraph, where an individual's payoff directly determines the number of hyperedges it can join. In the proposed mechanis…

physics.soc-ph2026★ 3 cited

Rumor Propagation and Supervision during Confrontation: An Importance-Driven SIRQS Network Model

Wenjie Zhang, Juan Wu, Minyu Feng +2

The societal impact of rumor spreading is becoming increasingly severe; yet, current research remains relatively one-sided, typically focusing on either rumor propagation or rumor…

q-fin.GN2025

The local Gaussian correlation networks among return tails in the Chinese stock market

Peng Liu

Financial networks based on Pearson correlations have been intensively studied. However, previous studies may have led to misleading and catastrophic results because of several cri…

q-fin.ST2024★ 1 cited

Anti-correlation network among China A-shares

Peng Liu

The correlation-based financial networks are studied intensively. However, previous studies ignored the importance of the anti-correlation. This paper is the first to consider the…

q-fin.ST2022★ 10 cited

Precision measurement of the return distribution property of the Chinese stock market index

Peng Liu, Yanyan Zheng

This paper systematically conducts an analysis of the composite index 1-min datasets over the 17-year period (2005-2021) for both the Shanghai and Shenzhen stock exchanges. To reve…

physics.soc-ph2022★ 7 cited

Heavy-tailed distributions of confirmed COVID-19 cases and deaths in spatiotemporal space

Peng Liu, Yanyan Zheng

This paper conducts a systematic statistical analysis of the characteristics of the geographical empirical distributions for the numbers of both cumulative and daily confirmed COVI…