649 citations · 1.5k across the 40 of their papers we have counts for
15 papers · 1 filter
Criticality and reduced dynamical resilience in PM2.5 pollution systems
Yuan Chen, Yongwen Zhang, Xu Li +5
Concentration-based metrics underpin air-quality assessment, while dynamical persistence and recovery describe how rapidly high-PM2.5 episodes dissipate and how strongly they retai…
Teleconnections among Tipping Elements in the Earth System
Teng Liu, Dean Chen, Lan Yang +10
Tipping elements of the Earth system may shift abruptly and irreversibly from one state to another at tipping points, resulting in a growing threat to our society. Yet, it is not f…
Network approach reveals the spatiotemporal influence of traffic to air pollution under the COVID-19
Weiping Wang, Saini Yang, Kai Yin +3
Air pollution causes widespread environmental and health problems and severely hinders the life quality of urban residents. Traffic is a critical for human life and its emissions a…
Emergence of scaling in dockless bike-sharing systems
Ruiqi Li, Ankang Luo, Fan Shang +6
Fundamental laws of human mobility have been extensively studied, yet we are still lacking a comprehensive understanding of the mobility patterns of sharing conveyances. Since trav…
Revealing spatio-temporal interaction patterns behind complex cities
Chenxin Liu, Yu Yang, Bingsheng Chen +4
Cities are typical dynamic complex systems that connect people and facilitate interactions. Revealing universal collective patterns behind spatio-temporal interactions between resi…
Social physics
Marko Jusup, Petter Holme, Kiyoshi Kanazawa +12
Recent decades have seen a rise in the use of physics methods to study different societal phenomena. This development has been due to physicists venturing outside of their traditio…
Statistical physics approaches to the complex Earth system
Jingfang Fan, Jun Meng, Josef Ludescher +5
Global climate change, extreme climate events, earthquakes and their accompanying natural disasters pose significant risks to humanity. Yet due to the nonlinear feedbacks, strategi…
Scaling Laws in Earthquake Memory for Interevent Times and Distances
Yongwen Zhang, Jingfang Fan, Warner Marzocchi +4
Over the past decades much effort has been devoted towards understanding and forecasting natural hazards. However, earthquake forecasting skill is still very limited and remains a…
A combined network and machine learning approaches for product market forecasting
Jingfang Fan, Keren Cohen, Louis M. Shekhtman +4
Sustainable financial markets play an important role in the functioning of human society. Still, the detection and prediction of risk in financial markets remain challenging and dr…
Percolation Framework of the Earth's Topography
Jingfang Fan, Jun Meng, Abbas Ali Saberi
Self-similarity and long-range correlations are the remarkable features of the Earth's surface topography. Here we develop an approach based on percolation theory to study the geom…
Climate network percolation reveals the expansion and weakening of the tropical component under global warming
Jingfang Fan, Jun Meng, Yosef Ashkenazy +2
Global climate warming poses a significant challenge to humanity; it is associated with, e.g., rising sea level and declining Arctic sea ice. Increasing extreme events are also con…
Resilience of spatial networks with inter-links behaving as an external field
Jingfang Fan, Gaogao Dong, Louis M. Shekhtman +4
Many real systems such as, roads, shipping routes, and infrastructure systems can be modeled based on spatially embedded networks. The inter-links between two distant spatial netwo…
Resilience of networks with community structure behaves as if under an external field
Gaogao Dong, Jingfang Fan, Louis M. Shekhtman +6
Detecting and characterizing community structure plays a crucial role in the study of networked systems. However, there is still a lack of understanding of how community structure…
Abrupt transitions in collaborative social networks
Jingfang Fan, Jun Meng, Yimin Ding +6
Despite the wide use of networks as a versatile tool for exploring complex social systems, little is known about how to detect and forecast abrupt changes in social systems. In thi…
Statistical properties of random clique networks
Yi-Min Ding, Jun Meng, Jing-Fang Fan +2
In this paper, a random clique network model to mimic the large clustering coefficient and the modular structure that exist in many real complex networks, such as social networks,…