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               <dc:title>Using network analysis to characterize participation and interaction in a citizen science online community</dc:title>
               <dc:creator>Amarasinghe, Ishari</dc:creator>
               <dc:creator>Manske, Sven</dc:creator>
               <dc:creator>Hoppe, H. Ulrich</dc:creator>
               <dc:creator>Santos Rodríguez, Patrícia</dc:creator>
               <dc:creator>Hernández Leo, Davinia</dc:creator>
               <dc:subject>Citizen science</dc:subject>
               <dc:subject>Discussion forums</dc:subject>
               <dc:subject>Social Network Analysis</dc:subject>
               <dc:subject>Epistemic Network Analysis</dc:subject>
               <dc:description>Comunicació presentada a: 27th International Conference, CollabTech 2021 celebrat de manera virtual del 31 d&amp;apos;agost al 3 de setembre de 2021.</dc:description>
               <dc:description>Citizen Science (CS) projects provide a space for collaboration&#xd;
among scientists and the general public as a basis for making joint&#xd;
scientific discoveries. Analysis of existing datasets from CS projects can&#xd;
broaden our understanding of how different stakeholder groups interact&#xd;
and contribute to the joint achievements. To this end, we have collected&#xd;
publicly available forum data from the “Chimp&amp;amp;See” project hosted on&#xd;
the Zooniverse platform via crawling its Talk pages. The collected data&#xd;
were then analysed using Social Network Analysis (SNA) and Epistemic&#xd;
Network Analysis (ENA) techniques. The results obtained shed light&#xd;
on the participation and collaboration patterns of different stakeholder&#xd;
groups within discussion forums of the “Chimp&amp;amp;See” project.</dc:description>
               <dc:description>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:description>
               <dc:date>2021-09-03T07:41:45Z</dc:date>
               <dc:date>2021-09-03T07:41:45Z</dc:date>
               <dc:date>2021</dc:date>
               <dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
               <dc:type>info:eu-repo/semantics/acceptedVersion</dc:type>
               <dc:relation>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>
               <dc:relation>info:eu-repo/grantAgreement/EC/H2020/872522</dc:relation>
               <dc:rights>© Springer Nature Switzerland AG 2021</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>Springer</dc:publisher>
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