Big Data Analysis on Global Community Formation and Isolation

Big Data Analysis on Global Community Formation and Isolation
Author :
Publisher : Springer Nature
Total Pages : 509
Release :
ISBN-10 : 9789811549441
ISBN-13 : 9811549443
Rating : 4/5 (443 Downloads)

Book Synopsis Big Data Analysis on Global Community Formation and Isolation by : Yuichi Ikeda

Download or read book Big Data Analysis on Global Community Formation and Isolation written by Yuichi Ikeda and published by Springer Nature. This book was released on 2021-06-12 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors analyze big data on global interdependence caused by the flows of commodities, money, and people, using a network science approach to obtain differing views of globalization and to clarify the facts on isolation of communities. Globalization reduces international economic inequality, i.e., it allows emerging countries to catch up while it increases relative poverty in some advanced countries. How should this trade-off between international and domestic inequalities be resolved? At the same time, the reduction of biocultural diversity caused by globalization needs to be avoided. What kind of change is required in local communities to conserve biocultural diversity? On the issue of commodity flow, research results of the supply-chain network, isolation in industry, and resource flows and stocks are presented in this book. For monetary flow, ownership networks, value-added networks, and profit shifting were studied; and regarding the flow of people, linkage of ethnic groups, immigrant assimilation, and refugees were examined. Based on the resulting view of globalization and isolation, the development of the isolation index using machine learning is discussed. Finally, recommendations for evidence-based policymaking in the United Nations are considered.


Big Data Analysis on Global Community Formation and Isolation Related Books

Big Data Analysis on Global Community Formation and Isolation
Language: en
Pages: 509
Authors: Yuichi Ikeda
Categories: Business & Economics
Type: BOOK - Published: 2021-06-12 - Publisher: Springer Nature

DOWNLOAD EBOOK

In this book, the authors analyze big data on global interdependence caused by the flows of commodities, money, and people, using a network science approach to
Data Science of Renewable Energy Integration
Language: en
Pages: 325
Authors: Yuichi Ikeda
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Technologies and Innovation
Language: en
Pages: 289
Authors: Rafael Valencia-GarcĂ­a
Categories: Computers
Type: BOOK - Published: 2016-11-07 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Second International Conference on Technologies and Innovation, CITI 2016, held in Guayaquil, Ecuador, in
Global Trends 2040
Language: en
Pages: 158
Authors: National Intelligence Council
Categories:
Type: BOOK - Published: 2021-03 - Publisher: Cosimo Reports

DOWNLOAD EBOOK

"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implica
Big Data Analytics Beyond Hadoop
Language: en
Pages: 235
Authors: Vijay Srinivas Agneeswaran
Categories: Business & Economics
Type: BOOK - Published: 2014-05-15 - Publisher: FT Press

DOWNLOAD EBOOK

Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When most technical professionals th