A5002509359- Complex Network Analysis Techniques
- Environmental Impact and Sustainability
- Market Dynamics and Volatility
- Complex Systems and Time Series Analysis
- Extraction and Separation Processes
- Energy, Environment, Economic Growth
- Sustainability and Ecological Systems Analysis
- Opinion Dynamics and Social Influence
- Recycling and Waste Management Techniques
- Global Energy Security and Policy
- Metal Extraction and Bioleaching
- Mining and Resource Management
- Global Energy and Sustainability Research
- Economic and Technological Innovation
- Innovation Diffusion and Forecasting
- Nonlinear Dynamics and Pattern Formation
- Sustainable Industrial Ecology
- Regional resilience and development
- Advanced Text Analysis Techniques
- Climate Change Policy and Economics
- Global trade and economics
- Air Quality and Health Impacts
- Water Resources and Sustainability
- Evolutionary Game Theory and Cooperation
- Energy, Environment, and Transportation Policies
Ministry of Natural Resources
2016-2025
China University of Geosciences (Beijing)
2016-2025
China International Center for Economic and Technical Exchanges
2021-2024
Ministry of Water Resources of the People's Republic of China
2019
Weatherford College
2018
Pennsylvania State University
2015-2016
Tungsten plays an irreplaceable role in industrial development and high technology is vital for national security economic development. Supply demand imbalances, geopolitical social health events, among other factors, lead to supply risks tungsten resources different economies. The existing studies have focused on modeling risk the upstream mineral trade lack a quantitative analysis of propagation product networks from industry chain perspective. Therefore, this paper uses data 2009 2020...
There are many types of autoregressive patterns in financial time series and they form a transmission process. Here, we define quantitatively through an econometrical regression model. We present computational algorithm that sets the as nodes transmissions between edges then converts process into network. utilised daily Shanghai (securities) composite index to study characteristics patterns. found statistically significant evidence market is not random there similar parts whole series. A few...