The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks

OBJECTIVES - The One Health Poultry Hub (OHPH) is a partnership network of approximately 120 researchers from 27 institutions in 10 countries. It addresses complex issues of poultry intensification and public health, with a geographic focus on Bangladesh, India, Sri Lanka and Vietnam. Social network analysis (SNA) was applied as an evaluation tool to investigate structural dimensions of collaborations between OHPH participants, as well as dynamic changes in the network across countries and research areas. MATERIALS AND METHODS - SNA was performed using data from two online surveys, conducted a year apart. All OHPH participants were invited to respond. The surveys covered three periods: P0 (before March 2019), P1 (March 2019 – February 2020) and P2 (March 2020 – February 2021). In addition to individual connections, respondents specified their scientific discipline, primary role, gender, and age category. RESULTS - The networks for all periods showed a high small-world index. Network connectedness increased during P1, in a distributed manner. However, during P2, connectedness decreased, and the network became more centralised; although connections between the UK and study countries increased, connections between study countries declined. Connectedness was higher for social scientists, mid and late career stage, and male partners. CONCLUSIONS - During P1, face-to-face meetings enabled partners from all disciplines and countries to interact directly. This facilitated an increase in network connectedness and reduction in centralisation. P2 corresponded with onset of the Covid-19 pandemic. All communication activities were migrated to online platforms. Factors affecting participation included internet access and bandwidth; language challenges; and inhibitions due to perceived status or hierarchy (e.g. early career researchers). In large partnership networks, an understanding of the relationships between partners is essential to shape activities plus engagement and impact strategies. SNA enabled us to evaluate these relationships, and how these evolve over time.

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Main Authors: Vink, Daan, Haesler, Barbara, Peyre, Marie-Isabelle, Tomley, Fiona, Apgar, Marina, Fournié, Guillaume
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Language:eng
Published: ISVEE
Online Access:http://agritrop.cirad.fr/606348/
http://agritrop.cirad.fr/606348/1/ID606348.pdf
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spelling dig-cirad-fr-6063482023-09-15T09:15:07Z http://agritrop.cirad.fr/606348/ http://agritrop.cirad.fr/606348/ The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks. Vink Daan, Haesler Barbara, Peyre Marie-Isabelle, Tomley Fiona, Apgar Marina, Fournié Guillaume. 2022. In : 16th International Symposium of Veterinary Epidemiology and Economics - Conneting animals, people, and their shared enivronments : Abstract book. ISVEE. Halifax : ISVEE, Résumé, p. 627. International Symposium of Veterinary Epidemiology and Economics (ISVEE 16). 16, Halifax, Canada, 7 Août 2022/12 Août 2022.https://venuewest.eventsair.com/isvee2022/symposium-program <https://venuewest.eventsair.com/isvee2022/symposium-program> The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks Vink, Daan Haesler, Barbara Peyre, Marie-Isabelle Tomley, Fiona Apgar, Marina Fournié, Guillaume eng 2022 ISVEE 16th International Symposium of Veterinary Epidemiology and Economics - Conneting animals, people, and their shared enivronments : Abstract book OBJECTIVES - The One Health Poultry Hub (OHPH) is a partnership network of approximately 120 researchers from 27 institutions in 10 countries. It addresses complex issues of poultry intensification and public health, with a geographic focus on Bangladesh, India, Sri Lanka and Vietnam. Social network analysis (SNA) was applied as an evaluation tool to investigate structural dimensions of collaborations between OHPH participants, as well as dynamic changes in the network across countries and research areas. MATERIALS AND METHODS - SNA was performed using data from two online surveys, conducted a year apart. All OHPH participants were invited to respond. The surveys covered three periods: P0 (before March 2019), P1 (March 2019 – February 2020) and P2 (March 2020 – February 2021). In addition to individual connections, respondents specified their scientific discipline, primary role, gender, and age category. RESULTS - The networks for all periods showed a high small-world index. Network connectedness increased during P1, in a distributed manner. However, during P2, connectedness decreased, and the network became more centralised; although connections between the UK and study countries increased, connections between study countries declined. Connectedness was higher for social scientists, mid and late career stage, and male partners. CONCLUSIONS - During P1, face-to-face meetings enabled partners from all disciplines and countries to interact directly. This facilitated an increase in network connectedness and reduction in centralisation. P2 corresponded with onset of the Covid-19 pandemic. All communication activities were migrated to online platforms. Factors affecting participation included internet access and bandwidth; language challenges; and inhibitions due to perceived status or hierarchy (e.g. early career researchers). In large partnership networks, an understanding of the relationships between partners is essential to shape activities plus engagement and impact strategies. SNA enabled us to evaluate these relationships, and how these evolve over time. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/606348/1/ID606348.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://venuewest.eventsair.com/isvee2022/symposium-program info:eu-repo/semantics/altIdentifier/purl/https://venuewest.eventsair.com/isvee2022/symposium-program
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description OBJECTIVES - The One Health Poultry Hub (OHPH) is a partnership network of approximately 120 researchers from 27 institutions in 10 countries. It addresses complex issues of poultry intensification and public health, with a geographic focus on Bangladesh, India, Sri Lanka and Vietnam. Social network analysis (SNA) was applied as an evaluation tool to investigate structural dimensions of collaborations between OHPH participants, as well as dynamic changes in the network across countries and research areas. MATERIALS AND METHODS - SNA was performed using data from two online surveys, conducted a year apart. All OHPH participants were invited to respond. The surveys covered three periods: P0 (before March 2019), P1 (March 2019 – February 2020) and P2 (March 2020 – February 2021). In addition to individual connections, respondents specified their scientific discipline, primary role, gender, and age category. RESULTS - The networks for all periods showed a high small-world index. Network connectedness increased during P1, in a distributed manner. However, during P2, connectedness decreased, and the network became more centralised; although connections between the UK and study countries increased, connections between study countries declined. Connectedness was higher for social scientists, mid and late career stage, and male partners. CONCLUSIONS - During P1, face-to-face meetings enabled partners from all disciplines and countries to interact directly. This facilitated an increase in network connectedness and reduction in centralisation. P2 corresponded with onset of the Covid-19 pandemic. All communication activities were migrated to online platforms. Factors affecting participation included internet access and bandwidth; language challenges; and inhibitions due to perceived status or hierarchy (e.g. early career researchers). In large partnership networks, an understanding of the relationships between partners is essential to shape activities plus engagement and impact strategies. SNA enabled us to evaluate these relationships, and how these evolve over time.
format conference_item
author Vink, Daan
Haesler, Barbara
Peyre, Marie-Isabelle
Tomley, Fiona
Apgar, Marina
Fournié, Guillaume
spellingShingle Vink, Daan
Haesler, Barbara
Peyre, Marie-Isabelle
Tomley, Fiona
Apgar, Marina
Fournié, Guillaume
The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks
author_facet Vink, Daan
Haesler, Barbara
Peyre, Marie-Isabelle
Tomley, Fiona
Apgar, Marina
Fournié, Guillaume
author_sort Vink, Daan
title The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks
title_short The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks
title_full The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks
title_fullStr The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks
title_full_unstemmed The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks
title_sort role of social network analysis (sna) as an evaluation tool in complex one health partnership networks
publisher ISVEE
url http://agritrop.cirad.fr/606348/
http://agritrop.cirad.fr/606348/1/ID606348.pdf
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