Mapping leadership and communities in EU-funded research through network analysis

<ns3:p>Background Horizon 2020 and Horizon Europe are flagship programs of the European Union aimed at supporting research and innovation, fostering collaboration among companies, academic institutions, and research organizations. Comprehensive data on projects, objectives, participants, funding details, and results of Horizon projects is available through the open access portal CORDIS (Community Research and Development Information Service). This paper introduces a novel methodology for utilizing CORDIS data to reveal collaborations, leadership roles, and their evolution over time. The case study focuses on the “hydrogen energy” sector, and specifically on the North Adriatic Hydrogen Valley project. Methods The methodology is based on network analysis. Data is downloaded from the CORDIS portal, enriched, segmented by year and transformed into weighted networks representing collaborations between organizations. Centrality measures are used to assess the influence of individual organizations, while community detection algorithms is used to identify stable collaborations. Temporal analysis tracks the evolution of these roles and communities over time. To ensure robust and reliable results, the methodology addresses challenges such as input-ordering bias and result variability, while the exploration of the solution space enhances the accuracy of identified collaboration patterns. Results A case study focusing on Horizon projects in the hydrogen energy sector demonstrates the application of this methodology, revealing the emergence of key leaders and stable communities, and highlighting significant collaboration within the sector. Conclusions The proposed methodology effectively identifies influential organizations and tracks the stability of research collaborations. The insights gained are valuable for policy-makers and organizations seeking to foster innovation through sustained partnerships. This approach can be extended to other sectors, offering a framework for understanding the impact of EU research funding on collaboration and leadership dynamics.</ns3:p>

Authors

Publication Details

Journal
Open Research Europe
Published
2024-12-18
DOI
https://doi.org/10.12688/openreseurope.18544.1
Citations
3
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
2.19

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article

Mapping leadership and communities in EU-funded research through network analysis

Fabio Morea, Domenico De Stefano, Alberto Soraci
3 citations
Open Research Europe
University-Industry-Government Innovation Models
2.19
article

Mapping leadership and communities in EU-funded research through network analysis

Fabio Morea, Domenico De Stefano, Alberto Soraci
article en
3 citations

Abstract

<ns3:p>Background Horizon 2020 and Horizon Europe are flagship programs of the European Union aimed at supporting research and innovation, fostering collaboration among companies, academic institutions, and research organizations. Comprehensive data on projects, objectives, participants, funding details, and results of Horizon projects is available through the open access portal CORDIS (Community Research and Development Information Service). This paper introduces a novel methodology for utilizing CORDIS data to reveal collaborations, leadership roles, and their evolution over time. The case study focuses on the “hydrogen energy” sector, and specifically on the North Adriatic Hydrogen Valley project. Methods The methodology is based on network analysis. Data is downloaded from the CORDIS portal, enriched, segmented by year and transformed into weighted networks representing collaborations between organizations. Centrality measures are used to assess the influence of individual organizations, while community detection algorithms is used to identify stable collaborations. Temporal analysis tracks the evolution of these roles and communities over time. To ensure robust and reliable results, the methodology addresses challenges such as input-ordering bias and result variability, while the exploration of the solution space enhances the accuracy of identified collaboration patterns. Results A case study focusing on Horizon projects in the hydrogen energy sector demonstrates the application of this methodology, revealing the emergence of key leaders and stable communities, and highlighting significant collaboration within the sector. Conclusions The proposed methodology effectively identifies influential organizations and tracks the stability of research collaborations. The insights gained are valuable for policy-makers and organizations seeking to foster innovation through sustained partnerships. This approach can be extended to other sectors, offering a framework for understanding the impact of EU research funding on collaboration and leadership dynamics.</ns3:p>

Open Research EuropeVol. 4
HORIZON EUROPE Framework Programme
Partnerships for the goals
Openalex Percentile: Top 10%
University-Industry-Government Innovation Models
2.19
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