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

Amarasinghe, Ishari; Manske, Sven; Hoppe, H. Ulrich; Santos Rodríguez, Patrícia; Hernández Leo, Davinia

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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.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