Fractal inequality: A social network analysis of global and regional international student mobility

2017 ◽  
Vol 12 (2) ◽  
pp. 243-268 ◽  
Author(s):  
Ashley Macrander
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
International Student ◽  
Tertiary Education ◽  
Student Mobility ◽  
Developed Countries ◽  
Regional Networks ◽  
International Student Mobility ◽  
The Pacific

Literature on global international student mobility (ISM) highlights the uneven nature of student flows – from the developing to the developed world – however, studies have yet to address whether this pattern is replicated within expanding regional networks. Utilizing social network analysis, UNESCO ISM data, and World Bank income classifications, this paper examines economic inequality in ISM from 2008–2012 globally and within the Southern African Development Community, the European Higher Education Area, the Union of South American Nations, and University Mobility in Asia and the Pacific. Findings reaffirm previous global analyses which indicate that higher-income countries play a preeminent role as receivers; whereas, lower-income countries function primarily as source nations. This study demonstrates that this pattern is replicated fractally within the four regional networks as well. Globally and regionally, economically developed countries comprise the core of the world-system in tertiary education while less-developed nations are relegated to peripheral status.

International Student Mobility Trends between Developed and Developing Countries

2016 ◽  
pp. 16-35 ◽  
Author(s):  
Xuezhi Liu ◽  
Chun Li
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Regression Analysis ◽  
International Student ◽  
Student Mobility ◽  
Developed Countries ◽  
International Student Mobility ◽  
Dynamic Landscape

The authors offer international student mobility trends between developed and developing countries. Global outflow, inflow, and net inflow trends are described to display an overall and dynamic landscape of international student mobility. International student mobility trends between developed and developing countries are compared from perspectives of absolute and relative quantities. Relationships between mobility trends and economic growth are explored using regression analysis with applicable variables such as global outflow number and global GDP, outflow number and GDP in developing countries, inflow number and GDP in developed countries, etc.

scholarly journals ACOPLAMENTO BIBLIOGRÁFICO NA LITERATURA INTERNACIONAL SOBRE INOVAÇÃO ABERTA NO DESENVOLVIMENTO DE SOFTWARE

2020 ◽  
Author(s):  
Leonardo Pereira Pinheiro de Souza ◽  
Fabiano Armellini
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Innovation ◽  
Scientific Literature ◽  
Source Code ◽  
Developed Countries ◽  
Annual Average ◽  
Software Companies ◽  
Methodological Procedures

Software is ubiquitous in an information-based society. Market complexity requires companies to employ open innovation, incorporating external knowledge and providing knowledge to its’ partners. It is aimed to investigate the characteristics of international scientific literature on open innovation and software development, their theoretical affinities and the most relevant authors. As methodological procedures, bibliographic coupling is used, with Social Network Analysis principles, verifying: references in common between papers on this theme, production by country and its annual average. As a result, it is evident that developed countries have higher production on the topic, despite the low annual average. The most referenced papers discuss profitability strategies using open source code. It is concluded that open innovation enables software companies to share knowledge and contribute to the development of society

scholarly journals How the Global Trade Linkages are Evolving? -Insight from Social Network Analysis Based on Global Multi-Regional Input-Output

2021 ◽  
pp. 9-24
Author(s):  
Kaiyao Wu ◽  
Chi Zhou ◽  
Dechun Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Structure ◽  
Developed Countries ◽  
Global Trade ◽  
Input Output ◽  
Trade Network ◽  
Global Pattern ◽  
The Developed Countries

With the rise and fall of the trade shares of different countries in the world, does the trade network structure change at the same time? Do the dynamics of countries’ positions differ in the evolution of trade network structure? Based on the latest world input-output database (WIOD), this paper illustrates the accounting models of international trade, and describes the dynamics of the global trade network structure and the countries’ positions. Research shows that China and the emerging countries developed faster than the developed countries during 2000-2014, and play important roles, not only in the trade shares, but also in global trade networks. The innovation of this study is that we present a systemic and explicit portrait of the global pattern of trade linkages between countries based on a set of social network analysis methods, and we find that the dynamic of linkage network is more violative than that of linkage flow.

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