Version 1
: Received: 10 May 2023 / Approved: 11 May 2023 / Online: 11 May 2023 (08:46:22 CEST)
How to cite:
Novotni, A.; Pásztory, Z.; Tóth, Z. Social Network Analysis in Forestry Projects. Preprints2023, 2023050827. https://doi.org/10.20944/preprints202305.0827.v1
Novotni, A.; Pásztory, Z.; Tóth, Z. Social Network Analysis in Forestry Projects. Preprints 2023, 2023050827. https://doi.org/10.20944/preprints202305.0827.v1
Novotni, A.; Pásztory, Z.; Tóth, Z. Social Network Analysis in Forestry Projects. Preprints2023, 2023050827. https://doi.org/10.20944/preprints202305.0827.v1
APA Style
Novotni, A., Pásztory, Z., & Tóth, Z. (2023). Social Network Analysis in Forestry Projects. Preprints. https://doi.org/10.20944/preprints202305.0827.v1
Chicago/Turabian Style
Novotni, A., Zoltán Pásztory and Zsolt Tóth. 2023 "Social Network Analysis in Forestry Projects" Preprints. https://doi.org/10.20944/preprints202305.0827.v1
Abstract
Using SNA techniques, the study examined H2020 forestry projects. An adjacency matrix was created using the CORDIS data collection, and it was then utilized to depict the network of project members. Then, different network indicators were computed. Several statistical techniques (maximum likelihood, Kolmogorov-Smirnov test, moments, bootstrapping) were employed to do a goodness-of-fit analysis on the frequencies of the degrees to confirm scale-freedom or randomness in the search for significant distributions in network research. Additionally, the small-world aspect was investigated. The findings demonstrate that while the number of project participations by project participants follows a power distribution, the distribution of project participants’ degrees reflects various effects. As a result, the scale-freedom that has been emphasized in many scientific investigations is not evident. The network indicators demonstrate that the network is not clearly small-world.
Keywords
forestry; social network analysis; project; Horizon 2020
Subject
Social Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
