Interplay between success and patterns of human collaboration: case study of a Thai Research Institute

Abstract Networks of collaboration are notoriously complex and the mechanisms underlying their evolution, although of high interest, are still not fully understood. In particular, collaboration networks can be used to model the interactions between scientists and analyze the circumstances that lead...

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Autores principales:	Antonio Maria Fiscarelli, Matthias R. Brust, Roland Bouffanais, Apivadee Piyatumrong, Grégoire Danoy, Pascal Bouvry
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fda92de50c174178a2fac721e0e52c99
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spelling	oai:doaj.org-article:fda92de50c174178a2fac721e0e52c992021-12-02T14:01:37ZInterplay between success and patterns of human collaboration: case study of a Thai Research Institute10.1038/s41598-020-79447-z2045-2322https://doaj.org/article/fda92de50c174178a2fac721e0e52c992021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79447-zhttps://doaj.org/toc/2045-2322Abstract Networks of collaboration are notoriously complex and the mechanisms underlying their evolution, although of high interest, are still not fully understood. In particular, collaboration networks can be used to model the interactions between scientists and analyze the circumstances that lead to successful research. This task is not trivial and conventional metrics, based on number of publications and number of citations of individual authors, may not be sufficient to provide a deep insight into the factors driving scientific success. However, network analysis techniques based on centrality measures and measures of the structural properties of the network are promising to that effect. In recent years, it has become evident that most successful research works are achieved by teams rather than individual researchers. Therefore, researchers have developed a keen interest in the dynamics of social groups. In this study, we use real world data from a Thai computer technology research center, where researchers collaborate on different projects and team up to produce a range of artifacts. For each artifact, a score that measures quality of research is available and shared between the researchers that contributed to its creation, according to their percentage of contribution. We identify several measures to quantify productivity and quality of work, as well as centrality measures and structural measures. We find that, at individual level, centrality metrics are linked to high productivity and quality of work, suggesting that researchers who cover strategic positions in the network of collaboration are more successful. At the team level, we show that the evolution in time of structural measures are also linked to high productivity and quality of work. This result suggests that variables such as team size, turnover rate, team compactness and team openness are critical factors that must be taken into account for the success of a team. The key findings of this study indicate that the success of a research institute needs to be assessed in the context of not just researcher or team level, but also on how the researchers engage in collaboration as well as on how teams evolve.Antonio Maria FiscarelliMatthias R. BrustRoland BouffanaisApivadee PiyatumrongGrégoire DanoyPascal BouvryNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Antonio Maria Fiscarelli Matthias R. Brust Roland Bouffanais Apivadee Piyatumrong Grégoire Danoy Pascal Bouvry Interplay between success and patterns of human collaboration: case study of a Thai Research Institute
description	Abstract Networks of collaboration are notoriously complex and the mechanisms underlying their evolution, although of high interest, are still not fully understood. In particular, collaboration networks can be used to model the interactions between scientists and analyze the circumstances that lead to successful research. This task is not trivial and conventional metrics, based on number of publications and number of citations of individual authors, may not be sufficient to provide a deep insight into the factors driving scientific success. However, network analysis techniques based on centrality measures and measures of the structural properties of the network are promising to that effect. In recent years, it has become evident that most successful research works are achieved by teams rather than individual researchers. Therefore, researchers have developed a keen interest in the dynamics of social groups. In this study, we use real world data from a Thai computer technology research center, where researchers collaborate on different projects and team up to produce a range of artifacts. For each artifact, a score that measures quality of research is available and shared between the researchers that contributed to its creation, according to their percentage of contribution. We identify several measures to quantify productivity and quality of work, as well as centrality measures and structural measures. We find that, at individual level, centrality metrics are linked to high productivity and quality of work, suggesting that researchers who cover strategic positions in the network of collaboration are more successful. At the team level, we show that the evolution in time of structural measures are also linked to high productivity and quality of work. This result suggests that variables such as team size, turnover rate, team compactness and team openness are critical factors that must be taken into account for the success of a team. The key findings of this study indicate that the success of a research institute needs to be assessed in the context of not just researcher or team level, but also on how the researchers engage in collaboration as well as on how teams evolve.
format	article
author	Antonio Maria Fiscarelli Matthias R. Brust Roland Bouffanais Apivadee Piyatumrong Grégoire Danoy Pascal Bouvry
author_facet	Antonio Maria Fiscarelli Matthias R. Brust Roland Bouffanais Apivadee Piyatumrong Grégoire Danoy Pascal Bouvry
author_sort	Antonio Maria Fiscarelli
title	Interplay between success and patterns of human collaboration: case study of a Thai Research Institute
title_short	Interplay between success and patterns of human collaboration: case study of a Thai Research Institute
title_full	Interplay between success and patterns of human collaboration: case study of a Thai Research Institute
title_fullStr	Interplay between success and patterns of human collaboration: case study of a Thai Research Institute
title_full_unstemmed	Interplay between success and patterns of human collaboration: case study of a Thai Research Institute
title_sort	interplay between success and patterns of human collaboration: case study of a thai research institute
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fda92de50c174178a2fac721e0e52c99
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Interplay between success and patterns of human collaboration: case study of a Thai Research Institute

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