research-article

International Scientific Collaboration in Artificial Intelligence An Analysis based on Web Data

Authors:

Yangxiao Liang,

Yutian ZhangAuthors Info & Claims

WebSci '20: Proceedings of the 12th ACM Conference on Web Science

Pages 69 - 75

https://doi.org/10.1145/3394231.3397896

Published: 06 July 2020 Publication History

Abstract

In this era of interdisciplinary science, Web science and artificial intelligence (AI), have brought dramatic revolutions to human society. The increasing availability of structured and unstructured information on the Web has become a critical research resource and offers unprecedented opportunities to explore the science of science (SciSci). SciSci use science technique to study the past, current, and evolving scientific discovery. Although many significant SciSci works study the patterns of international scientific collaboration, the relevant knowledge in AI is sorely lacking. In this work, we study the evolution of the international scientific collaboration patterns in the AI field. By graphing the entities and relationships in the international collaboration pattern, we make multiple multidimensional statistical analyses from the perspectives of institutions and countries.

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References

[1]

Giovanni Abramo, Ciriaco Andrea D’Angelo, and Marco Solazzi. 2011. The relationship between scientists’ research performance and the degree of internationalization of their research. Scientometrics 86, 3 (2011), 629–643.

Digital Library

[2]

Daniele Archibugi and Alberto Coco. 2004. International partnerships for knowledge in business and academia: A comparison between Europe and the USA. Technovation 24, 7 (2004), 517–528.

[3]

Mario Coccia and Lili Wang. [n.d.]. Evolution and convergence of the patterns of international scientific collaboration. Proceedings of the National Academy of Sciences of the United States of America ([n. d.]), 201510820.

[4]

Jean-Christophe Doré, Tiiu Ojasoo, Yoshiko Okubo, Thomas Durand, Gérard Dudognon, and Jean-François Miquel. 1996. Correspondence factor analysis of the publication patterns of 48 countries over the period 1981–1992. Journal of the American Society for Information Science 47, 8(1996), 588–602.

Digital Library

[5]

Henry Etzkowitz and Loet Leydesdorff. 2000. The dynamics of innovation: from National Systems and ”Mode 2” to a Triple Helix of university–industry–government relations. Research policy 29, 2 (2000), 109–123.

[6]

Luke Georghiou. 1998. Global cooperation in research. Research policy 27, 6 (1998), 611–626.

[7]

Carlos Gershenson. 2013. Collaborations: The fourth age of research. 19, 1 (2013), 1–5.

[8]

Wolfgang Glänzel. 2001. National characteristics in international scientific co-authorship relations. Scientometrics 51, 1 (2001), 69–115.

[9]

Vicente P. Guerrero Bote, Carlos Olmeda-Gómez, and Félix de Moya-Anegón. [n.d.]. Quantifying the benefits of international scientific collaboration. Journal of the American Society for Information Science & Technology 64, 2([n. d.]), 392–404.

[10]

John Ioannidis, Kevin W Boyack, Henry Small, Aaron A Sorensen, and Richard Klavans. 2014. Bibliometrics: Is your most cited work your best?Nature News 514, 7524 (2014), 561.

[11]

Terttu Luukkonen, Olle Persson, and Gunnar Sivertsen. 1992. Understanding patterns of international scientific collaboration. Science, Technology, & Human Values 17, 1 (1992), 101–126.

[12]

Yifang Ma and Brian Uzzi. 2018. Scientific prize network predicts who pushes the boundaries of science. Proceedings of the National Academy of Sciences 115, 50(2018), 12608–12615.

[13]

Lars Mathiassen. 2002. Collaborative practice research. Information Technology & People(2002).

[14]

Francis Narin, Kimberly Stevens, and Edith S Whitlow. 1991. Scientific co-operation in Europe and the citation of multinationally authored papers. Scientometrics 21, 3 (1991), 313–323.

[15]

Gary M Olson, Stephanie Teasley, Matthew J Bietz, and Derrick L Cogburn. 2002. Collaboratories to support distributed science: the example of international HIV/AIDS research. In Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on enablement through technology. South African Institute for Computer Scientists and Information Technologists, 44–51.

[16]

Olle Persson. 2010. Are highly cited papers more international?Scientometrics 83, 2 (2010), 397–401.

[17]

Olle Persson, Wolfgang Glänzel, and Rickard Danell. 2004. Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies. Scientometrics 60, 3 (2004), 421–432.

[18]

András Schubert and Tibor Braun. 1990. International collaboration in the sciences 1981–1985. Scientometrics 19, 1-2 (1990), 3–10.

[19]

Donald E Stokes. 2011. Pasteur’s quadrant: Basic science and technological innovation. Brookings Institution Press.

[20]

Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. 2008. Arnetminer: extraction and mining of academic social networks. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 990–998.

Digital Library

[21]

A Van Raan. 1998. The influence of international collaboration on the impact of research results: Some simple mathematical considerations concerning the role of self-citations. Scientometrics 42, 3 (1998), 423–428.

[22]

Caroline S Wagner and Loet Leydesdorff. 2005. Mapping the network of global science: comparing international co-authorships from 1990 to 2000. International journal of Technology and Globalisation 1, 2(2005), 185–208.

[23]

Caroline S. Wagner, Travis A. Whetsell, and Loet Leydesdorff. 2016. Growth of International Collaboration in Science: Revisiting Six Specialties. Scientometrics Forthcoming, 3 (2016).

Cited By

Shao ZYuan SJin YWang Y(2024)Scholar's career switch from academia to industry: Mining and analysis from AMinerBig Data Research10.1016/j.bdr.2024.100441(100441)Online publication date: Feb-2024
https://doi.org/10.1016/j.bdr.2024.100441
Zhao RShao ZZhang WZhang JWu C(2023)A multi-channel multi-tower GNN model for job transfer prediction based on academic social networkApplied Soft Computing10.1016/j.asoc.2023.110300142(110300)Online publication date: Jul-2023
https://doi.org/10.1016/j.asoc.2023.110300
Shao ZZhao RYuan SDing MWang Y(2022)Tracing the evolution of AI in the past decade and forecasting the emerging trendsExpert Systems with Applications10.1016/j.eswa.2022.118221(118221)Online publication date: Jul-2022
https://doi.org/10.1016/j.eswa.2022.118221

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Published In

cover image ACM Conferences

WebSci '20: Proceedings of the 12th ACM Conference on Web Science

July 2020

361 pages

ISBN:9781450379892

DOI:10.1145/3394231

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Published: 06 July 2020

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NSFC for Distinguished Young Scholar
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WebSci '20

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SIGWEB

WebSci '20: 12th ACM Conference on Web Science

July 6 - 10, 2020

Southampton, United Kingdom

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Overall Acceptance Rate 245 of 933 submissions, 26%

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Cited By

Shao ZYuan SJin YWang Y(2024)Scholar's career switch from academia to industry: Mining and analysis from AMinerBig Data Research10.1016/j.bdr.2024.100441(100441)Online publication date: Feb-2024
https://doi.org/10.1016/j.bdr.2024.100441
Zhao RShao ZZhang WZhang JWu C(2023)A multi-channel multi-tower GNN model for job transfer prediction based on academic social networkApplied Soft Computing10.1016/j.asoc.2023.110300142(110300)Online publication date: Jul-2023
https://doi.org/10.1016/j.asoc.2023.110300
Shao ZZhao RYuan SDing MWang Y(2022)Tracing the evolution of AI in the past decade and forecasting the emerging trendsExpert Systems with Applications10.1016/j.eswa.2022.118221(118221)Online publication date: Jul-2022
https://doi.org/10.1016/j.eswa.2022.118221

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