Fei Yan – författare

Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data.In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory. An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.

Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data.In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory. An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.

This book explores the intersection of quantum computing and network science. It bridges the theoretical foundations of quantum walk algorithms with their applications in the structural exploration and representation learning of complex networks.Quantum walks, a technology that is pivotal to universal quantum computational models, examines the movement of particles on a graph composed of nodes and links. Quantum superposition enables these particles to traverse these graphs more quickly, while measurement-induced collapse introduces fluctuations, making the identification of critical nodes challenging yet intriguing. At its core, the book explores how quantum walk algorithms can transform the structural and representational analysis of complex networks. It begins by introducing the fundamental concepts of quantum computing and quantum walks, including generalized definitions and the properties of low-dimensional quantum walks. Then, it discusses the implementation of discrete- and continuous-time quantum walks for mining network nodes, links, and subgraphs, as well as their use in network representation learning and graph neural networks.The book will serve as a valuable reference for researchers, students, and educators interested in quantum walks, complex networks, quantum mechanics, and information engineering.

Innovation and entrepreneurship rank highly on the strategic agenda of most countries today. As global economic competition intensifies, many national policymakers now recognize the central importance of entrepreneurship education and the building of financial institutions to promote long-term innovation, entrepreneurship, and economic growth. Drivers of Innovation brings together scholars from the United States and Asia to explore those education and finance policies that might be conducive to accelerating innovation and developing a more entrepreneurial workforce in East Asia. Some of the questions covered include: How do universities in China and Singapore experiment with new types of learning in their quest to promote innovation and entrepreneurship? Is there a need to transform the traditional university into an “entrepreneurial university”? What are the recent developments in and outstanding challenges to financing innovation in China and Japan? What is the government’s role in promoting innovative entrepreneurship under the shadow of big business in South Korea? What can we learn about the capacity of services to drive innovation-led growth in India? Drivers of Innovation will serve as a valuable reference for scholars and policymakers working to develop human capital for innovation in Asia.

This book constitutes the refereed proceedings of the 11th Chinese Conference on Trusted Computing and Information Security, CTCIS 2017, held in Changsha, China, in September 2017. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers focus on topics such as theory of trusted computing, trustworthy software; infrastructure of trusted computing, application and evaluation of trusted computing; network security and communication security; theory and technology of cryptographic techniques; information content security; system security for mobile network and IoT systems, industrial control and embedded systems; security for Cloud computing, virtualization systems and big data.

This book constitutes the refereed proceedings of the Chinese Conference on Trusted Computing and Information Security, CTCIS 2018, held in Wuhan, China, in October 2018.The 24 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are centered around cryptography, systems security, trusted computing, information security, and network security.

This book constitutes the refereed proceedings of the Chinese Conference on Trusted Computing and Information Security, CTCIS 2019, held in Shanghai, China, in October 2019. The 22 revised full papers presented were carefully reviewed and selected from 247 submissions.

This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.