A5100627505- Complex Systems and Time Series Analysis
- Financial Markets and Investment Strategies
- Advanced Research in Science and Engineering
- Educational Reforms and Innovations
- Peer-to-Peer Network Technologies
- Advanced Graph Neural Networks
- Privacy, Security, and Data Protection
- Corporate Insolvency and Governance
- Environmental and Agricultural Sciences
- Financial Risk and Volatility Modeling
- Insurance and Financial Risk Management
- Mobile Crowdsensing and Crowdsourcing
- Economic theories and models
- Financial Literacy, Pension, Retirement Analysis
- Legal principles and applications
- Complex Network Analysis Techniques
- Mathematical Biology Tumor Growth
- Privacy-Preserving Technologies in Data
- Stochastic processes and financial applications
Xi'an Jiaotong University
2005-2024
Beijing Foreign Studies University
2019-2020
Donghua University
2014
Health Action International
2002
Emerging spatial crowdsourcing (SC) provides an approach for collecting and analyzing spatiotemporal information from intelligent transportation systems. However, the exposure of massive location privacy to potential adversaries purpose quality control makes workers more vulnerable. To protect workers' privacy, obfuscation scheme is proposed incorporate uncertainties into SC problem through obfuscating standard data in terms both space time. Two measures, entropy results accuracy, are used...
Based on the quarterly data of mutual funds in China from fourth quarter 2004 to 2019, this paper constructs a series complex bipartite networks based overlapped portfolios and then explores influences fund network position fund’s investment behavior performance. This finds that with shorter information transmission path other entities (i.e., having higher closeness centrality) or stronger ties those important positions eigenvector will achieve better However, mediating role over potential...