Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation

With the increasing penetration of interdisciplinary subjects, it is more difficult for researchers to complete a paper individually, showing that the division of labor can improve the level and efficiency of scientific research. Thus, collaboration among multiple scholars has become a trend in acad...

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Autores principales:	Weiting Zhao, Zheng Zou, Zidong Wei, Wenwen Gong, Chao Yan, Ashish Kr Luhach
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/598b1c8c9a504e5f9152039173d9b6fc
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spelling	oai:doaj.org-article:598b1c8c9a504e5f9152039173d9b6fc2021-11-15T01:19:33ZCoauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation1939-012210.1155/2021/1737850https://doaj.org/article/598b1c8c9a504e5f9152039173d9b6fc2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1737850https://doaj.org/toc/1939-0122With the increasing penetration of interdisciplinary subjects, it is more difficult for researchers to complete a paper individually, showing that the division of labor can improve the level and efficiency of scientific research. Thus, collaboration among multiple scholars has become a trend in academic research. However, because the numbers of scholars and papers are increasing and cooperation between scholars has become more frequent in recent years, it is an increasingly challenging task to discover useful knowledge resources for researchers. Against the background of big data, how to help scholars quickly find interested target collaborators, encourage them to participate more actively in academic communication, and create high-quality achievements in scientific research has become a significant problem. Considering this challenge, this article proposes a framework of coauthorship strength, author contribution, and search (CCS，taking the first letter of the keyword), which is based on the coauthorship feature of Google Academics. In CSS, we combined the search algorithm to select the optimal connection path to help scholars find interested target scholars efficiently and to better solve practical application problems. Finally, our proposal is evaluated by a set of experiments based on a real-world dataset. Experimental results of our approach show better search outcomes compared to other competitive approaches.Weiting ZhaoZheng ZouZidong WeiWenwen GongChao YanAshish Kr LuhachHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Weiting Zhao Zheng Zou Zidong Wei Wenwen Gong Chao Yan Ashish Kr Luhach Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
description	With the increasing penetration of interdisciplinary subjects, it is more difficult for researchers to complete a paper individually, showing that the division of labor can improve the level and efficiency of scientific research. Thus, collaboration among multiple scholars has become a trend in academic research. However, because the numbers of scholars and papers are increasing and cooperation between scholars has become more frequent in recent years, it is an increasingly challenging task to discover useful knowledge resources for researchers. Against the background of big data, how to help scholars quickly find interested target collaborators, encourage them to participate more actively in academic communication, and create high-quality achievements in scientific research has become a significant problem. Considering this challenge, this article proposes a framework of coauthorship strength, author contribution, and search (CCS，taking the first letter of the keyword), which is based on the coauthorship feature of Google Academics. In CSS, we combined the search algorithm to select the optimal connection path to help scholars find interested target scholars efficiently and to better solve practical application problems. Finally, our proposal is evaluated by a set of experiments based on a real-world dataset. Experimental results of our approach show better search outcomes compared to other competitive approaches.
format	article
author	Weiting Zhao Zheng Zou Zidong Wei Wenwen Gong Chao Yan Ashish Kr Luhach
author_facet	Weiting Zhao Zheng Zou Zidong Wei Wenwen Gong Chao Yan Ashish Kr Luhach
author_sort	Weiting Zhao
title	Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
title_short	Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
title_full	Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
title_fullStr	Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
title_full_unstemmed	Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation
title_sort	coauthorship network mining for scholar communication and collaboration path recommendation
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/598b1c8c9a504e5f9152039173d9b6fc
work_keys_str_mv	AT weitingzhao coauthorshipnetworkminingforscholarcommunicationandcollaborationpathrecommendation AT zhengzou coauthorshipnetworkminingforscholarcommunicationandcollaborationpathrecommendation AT zidongwei coauthorshipnetworkminingforscholarcommunicationandcollaborationpathrecommendation AT wenwengong coauthorshipnetworkminingforscholarcommunicationandcollaborationpathrecommendation AT chaoyan coauthorshipnetworkminingforscholarcommunicationandcollaborationpathrecommendation AT ashishkrluhach coauthorshipnetworkminingforscholarcommunicationandcollaborationpathrecommendation
_version_	1718428923683930112

Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation

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