Welcome to the UPF Digital Repository

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

Show simple item record

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.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.isbn 978-3-030-85070-8
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10230/48383
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.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.rights © Springer Nature Switzerland AG 2021
dc.title Using network analysis to characterize participation and interaction in a citizen science online community
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-030-85071-5_5
dc.subject.keyword Citizen science
dc.subject.keyword Discussion forums
dc.subject.keyword Social Network Analysis
dc.subject.keyword Epistemic Network Analysis
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/872522
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

Compliant to Partaking