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Author: Yunsong Chen
Publisher: Routledge
ISBN: 1000412342
Category : Social Science
Languages : en
Pages : 272
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Book Description
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.
Author: Yunsong Chen
Publisher: Routledge
ISBN: 1000412342
Category : Social Science
Languages : en
Pages : 272
Get Book Here
Book Description
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.
Author: Wenjie Wu
Publisher: Routledge
ISBN: 1351623583
Category : Business & Economics
Languages : en
Pages : 221
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Book Description
Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data". This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level. The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography.
Author: Mengyao Lin
Publisher: Springer Nature
ISBN: 9819779812
Category :
Languages : en
Pages : 186
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Book Description
Author: Qing Jiang
Publisher: Springer Nature
ISBN: 9811997152
Category : Social Science
Languages : en
Pages : 150
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Book Description
This book is the first practical case study on the application of big data in China's government management scenarios, which is important for comprehensively presenting the achievements of China's e-government and digital construction as well as deeply understanding the implementation of big data strategy in China. The author of this book is one of the earliest practitioners engaged in the study of big data applications, and has personally experienced the development, major events, application cases, and industry changes of big data in China. Cases in this book are all actual projects carried out. The author of this book explains the development history of big data she has personally experienced, presenting in an easy-to-understand way the basic concept and characteristics of big data and practical interpretation, which provides important reference for the practical work of government and enterprise managers. The application ideas of big data in management innovation are proposed, and scenarios are described and discussed in terms of accelerating research on sharing big data in government affairs, breaking barriers, realizing data flow information sharing, creating one-stop services, improving the corresponding policy system for sharing big data in government affairs, building public information platform for e-government, and strengthening network and information infrastructure. Especially for the government personnel in departments, this book will give them a better understanding of the charm and value of big data, intuitively understand the utilization and analysis of big data, carry out effective government management and make correct decisions, so as to improve the data literacy of organizations and individuals, form scientific support for their own government's decision-making and management, thus promote the continued construction of digital government, digital China, and digital economy era based on the application of big data.
Author: Eli Berman
Publisher: Princeton University Press
ISBN: 140089011X
Category : Political Science
Languages : en
Pages : 411
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Book Description
How a new understanding of warfare can help the military fight today’s conflicts more effectively The way wars are fought has changed starkly over the past sixty years. International military campaigns used to play out between large armies at central fronts. Today's conflicts find major powers facing rebel insurgencies that deploy elusive methods, from improvised explosives to terrorist attacks. Small Wars, Big Data presents a transformative understanding of these contemporary confrontations and how they should be fought. The authors show that a revolution in the study of conflict--enabled by vast data, rich qualitative evidence, and modern methods—yields new insights into terrorism, civil wars, and foreign interventions. Modern warfare is not about struggles over territory but over people; civilians—and the information they might choose to provide—can turn the tide at critical junctures. The authors draw practical lessons from the past two decades of conflict in locations ranging from Latin America and the Middle East to Central and Southeast Asia. Building an information-centric understanding of insurgencies, the authors examine the relationships between rebels, the government, and civilians. This approach serves as a springboard for exploring other aspects of modern conflict, including the suppression of rebel activity, the role of mobile communications networks, the links between aid and violence, and why conventional military methods might provide short-term success but undermine lasting peace. Ultimately the authors show how the stronger side can almost always win the villages, but why that does not guarantee winning the war. Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population.
Author: Hong Yu
Publisher: Springer Nature
ISBN: 9819996333
Category :
Languages : en
Pages : 227
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Book Description
Author: Zhenjiang Shen
Publisher: Springer
ISBN: 3319519298
Category : Business & Economics
Languages : en
Pages : 467
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Book Description
In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.
Author:
Publisher: Frontiers Media SA
ISBN: 2832518141
Category : Medical
Languages : en
Pages : 158
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Book Description
Author: Stefan Piech
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 263
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Book Description
China is quickly proving to be an important global player. Acknowledging its inevitable growth, understanding China has become as important as ever. Over the last decade, we have witnessed Chinese businesses expand outside the country's borders and how China's influence is spreading around the globe. This might leave some wondering: Is China's success due to Deng Xiaoping's opening-up policy or is there something else that can be credited? In this book, Stefan Piech takes the reader on a journey through China's history, present, and future to answer this exact question. While Chinese society is now infused with innovation and dynamism, America has seen the foundations of its economic model shake after the 2008 financial crisis. With the global rise of China, the US is now facing a political challenge that it has never seen before. As a consequence of this, politicians and business leaders all around the world have an increased interest in understanding China. At the end of the day, it seems possible that China will replace the United States as the world's dominant power. In doing so, it will not become more western but the world will become more Chinese. Consequently, it is important for us to understand this rising power not through western terms but through its own unique history and culture. "Probably in 2035 we will pass that mantle on to China. It will be the biggest economy in the world, and it will go way past us and way past India. Given the growth, the size, the opportunities, I don't think there's any other place in the world that can match it." - David Rubenstein
Author: Li Zhang
Publisher: Springer Nature
ISBN: 9811904286
Category : Social Science
Languages : en
Pages : 215
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Book Description
This book introduces China’s current publishing industry in the new era, especially when facing the big challenge from social media and technology transformation. Based on the calculation for the first time, the book and overall size of the content data of publications in China, the book presents 15 cases of Chinese publishers looking for opportunities to develop business, using the technology of big data and Internet. For global readers, it may help to build an overview on China's publishing industry and business innovation cases of media companies.
