Using network analysis to characterize participation and interaction in a citizen science online community

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• dc.contributor.author Amarasinghe, Ishari
• dc.contributor.author Manske, Sven
• dc.contributor.author Hoppe, H. Ulrich
• dc.contributor.author Santos Rodríguez, Patrícia
• dc.contributor.author Hernández Leo, Davinia
• dc.date.accessioned 2021-09-03T07:41:45Z
• dc.date.available 2021-09-03T07:41:45Z
• dc.date.issued 2021
• dc.description Comunicació presentada a: 27th International Conference, CollabTech 2021 celebrat de manera virtual del 31 d'agost al 3 de setembre de 2021.
• dc.description.abstract Citizen Science (CS) projects provide a space for collaboration among scientists and the general public as a basis for making joint scientific discoveries. Analysis of existing datasets from CS projects can broaden our understanding of how different stakeholder groups interact and contribute to the joint achievements. To this end, we have collected publicly available forum data from the “Chimp&See” project hosted on the Zooniverse platform via crawling its Talk pages. The collected data were then analysed using Social Network Analysis (SNA) and Epistemic Network Analysis (ENA) techniques. The results obtained shed light on the participation and collaboration patterns of different stakeholder groups within discussion forums of the “Chimp&See” project.
• dc.description.sponsorship This work was partially funded by the European Union in the context of the CS Track (Grant Agreement no. 872522) under the Horizon 2020 program. This document does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of its content. We thank all CS Track team members for the fruitful interactions that facilitated this work.
• dc.format.mimetype application/pdf
• dc.identifier.citation Amarasinghe I, Manske S, Hoppe HU, Santos P, Hernández-Leo D. Using network analysis to characterize participation and interaction in a citizen science online community. In: Hernández-Leo D, Hishiyama R, Zurita G, Weyers B, Nolte A, Ogata H, editors. Collaboration Technologies and Social Computing. Proceedings of the 27th International Conference, CollabTech 2021; 2021 Aug 31-Sep 3; Cham, Switzerland. Cham: Springer; 2021. p. 67-82. (LNCS; no. 12856). DOI: 10.1007/978-3-030-85071-5_5
• dc.identifier.doi http://dx.doi.org/10.1007/978-3-030-85071-5_5
• dc.identifier.isbn 978-3-030-85070-8
• dc.identifier.issn 0302-9743
• dc.identifier.uri http://hdl.handle.net/10230/48383
• dc.language.iso eng
• dc.publisher Springer
• dc.relation.ispartof Hernández-Leo D, Hishiyama R, Zurita G, Weyers B, Nolte A, Ogata H, editors. Collaboration Technologies and Social Computing. Proceedings of the 27th International Conference, CollabTech 2021; 2021 Aug 31-Sep 3; Cham, Switzerland. Cham: Springer; 2021. (LNCS; no. 12856).
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/872522
• dc.rights © Springer Nature Switzerland AG 2021
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Citizen science
• dc.subject.keyword Discussion forums
• dc.subject.keyword Social Network Analysis
• dc.subject.keyword Epistemic Network Analysis
• dc.title Using network analysis to characterize participation and interaction in a citizen science online community
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion