Aug 21, 2023 · Unveiling the impact of contributor dynamics on collaborative mapping ... are more likely to map new cells rather than edit existing cells).

Aug 21, 2023 · In this paper, we evaluate Linus' Law as applied to the co-production of volunteered geographic information using an agent-based model.

"Is more always better? Unveiling the impact of contributor dynamics on collaborative mapping," Computational and Mathematical Organization Theory, Springer, ...

Aug 3, 2023 · Is more always better? Unveiling the impact of contributor dynamics on collaborative mapping. August 2023; Computational and Mathematical ...

Our results demonstrate how diminishing returns and the experience of contributors limit Linus' Law as an intrinsic assessment of data quality. List of ...

In this paper, we evaluate Linus' Law as applied to the co-production of volunteered geographic information using an agent-based model and examine the effects ...

Is more always better? Unveiling the impact of contributor dynamics on collaborative mapping. Jun2024. Author(s). McGough, Aylin. 1 (AUTHOR). Kavak, Hamdi. 1 ...

Impact of the mean (blue lines) and variance (orange lines) of agent. Is more always better? Unveiling the impact of contributor dynamics on collaborative ...

This study presents a three dimensional collaboration tool specifically developed to surface dilemmas in a multi-actor context.

Sep 11, 2023 · Primarily, collaborating encourages different perspectives to flow freely within a group setting. Individuals encouraged to collaborate do not ...