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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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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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
NSFC

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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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