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Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation

In this paper, we seek to examine the network of the Greek National Documentation Centre (EKT) as formed by its LinkedIn followers. By applying specific data collection and processing techniques, we explore the network of all the individuals that follow EKT’s LinkedIn page. Significant manual and au...

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Autores principales: Sachini, Evi, Sioumalas-⁠ Christodoulou, Konstantinos, Bouras, Nikias, Karampekios, Nikolaos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734916/
https://www.ncbi.nlm.nih.gov/pubmed/36531142
http://dx.doi.org/10.1007/s43545-022-00586-3
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author Sachini, Evi
Sioumalas-⁠ Christodoulou, Konstantinos
Bouras, Nikias
Karampekios, Nikolaos
author_facet Sachini, Evi
Sioumalas-⁠ Christodoulou, Konstantinos
Bouras, Nikias
Karampekios, Nikolaos
author_sort Sachini, Evi
collection PubMed
description In this paper, we seek to examine the network of the Greek National Documentation Centre (EKT) as formed by its LinkedIn followers. By applying specific data collection and processing techniques, we explore the network of all the individuals that follow EKT’s LinkedIn page. Significant manual and automatic approaches have been implemented with regard to data extraction, data curation and data homogenization. The aim is to identify the network’s advancement over time, the institutions involved and the countries. The timeframe of the study spans from when the relevant LinkedIn page was constructed in 2015 to 2020. Findings indicate that there is a steady increase in the number of new followers, peaking in 2020. On an international scale, the evolution of the network of followers is imprinted and distributed in worldwide maps. In total, 68 countries have followed EKT over the examined time period. Also, in terms of followers’ institutional sector the Business Sector (BES) stands out (46.5%). Higher Education (HES) and Government Sector (GOV) are associated with 26.4 and 22.2% of the followers, respectively. Lastly, this paper provides a first institutional and country-level mapping of who constitutes the organisation’s interlocutors in the national and global RDI ecosystem.
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spelling pubmed-97349162022-12-12 Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation Sachini, Evi Sioumalas-⁠ Christodoulou, Konstantinos Bouras, Nikias Karampekios, Nikolaos SN Soc Sci Original Paper In this paper, we seek to examine the network of the Greek National Documentation Centre (EKT) as formed by its LinkedIn followers. By applying specific data collection and processing techniques, we explore the network of all the individuals that follow EKT’s LinkedIn page. Significant manual and automatic approaches have been implemented with regard to data extraction, data curation and data homogenization. The aim is to identify the network’s advancement over time, the institutions involved and the countries. The timeframe of the study spans from when the relevant LinkedIn page was constructed in 2015 to 2020. Findings indicate that there is a steady increase in the number of new followers, peaking in 2020. On an international scale, the evolution of the network of followers is imprinted and distributed in worldwide maps. In total, 68 countries have followed EKT over the examined time period. Also, in terms of followers’ institutional sector the Business Sector (BES) stands out (46.5%). Higher Education (HES) and Government Sector (GOV) are associated with 26.4 and 22.2% of the followers, respectively. Lastly, this paper provides a first institutional and country-level mapping of who constitutes the organisation’s interlocutors in the national and global RDI ecosystem. Springer International Publishing 2022-12-08 2022 /pmc/articles/PMC9734916/ /pubmed/36531142 http://dx.doi.org/10.1007/s43545-022-00586-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Sachini, Evi
Sioumalas-⁠ Christodoulou, Konstantinos
Bouras, Nikias
Karampekios, Nikolaos
Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation
title Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation
title_full Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation
title_fullStr Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation
title_full_unstemmed Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation
title_short Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation
title_sort lessons for science and technology policy? probing the linkedin network of an rdi organisation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734916/
https://www.ncbi.nlm.nih.gov/pubmed/36531142
http://dx.doi.org/10.1007/s43545-022-00586-3
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