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Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12856)


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.


  • Citizen science
  • Discussion forums
  • Social Network Analysis
  • Epistemic Network Analysis

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  1. 1.

    CS Track project: Retrieved: 2021-04-26.

  2. 2.

    Zooniverse: Retrieved: 2021-04-26.

  3. 3.

    Chimp& See Talk Pages: Retrieved: 2021-04-10.

  4. 4.

    Epistemic Network Analysis, Wisconsin Center for Education Research: Retrieved: 2021-04-26.


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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.

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Correspondence to Ishari Amarasinghe .

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Amarasinghe, I., Manske, S., Hoppe, H.U., Santos, P., Hernández-Leo, D. (2021). 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. (eds) Collaboration Technologies and Social Computing. CollabTech 2021. Lecture Notes in Computer Science(), vol 12856. Springer, Cham.

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