Quality in Peer Production Systems – Impact of Assortativity of Communication Networks on Group Efficacy

dc.contributor.author Rychwalska, Agnieszka
dc.contributor.author Talaga, Szymon
dc.contributor.author Ziembowicz, Karolina
dc.date.accessioned 2020-01-04T07:44:59Z
dc.date.available 2020-01-04T07:44:59Z
dc.date.issued 2020-01-07
dc.description.abstract Many online peer production systems (e.g. Wikipedia or Open Source Software communities) strive to deliver high quality intellectual goods that could compare with commercial products. While quality is key to the communities’ success – widespread adoption of their products – it is not clear what makes some succeed, while others provide subpar outcomes or fail entirely. Quality of Wikipedia articles has been previously related to the number of editors writing them or to the diversity of editors’ competences. Here we tested the hypothesis that cohesiveness of private communication networks within collaborating groups increases the quality of their products. We analyzed communication within a sample of Wikiprojects on the English Wikipedia – groups of editors that coordinate their activities to improve articles related to a specific topic. We found that most Wikiprojects communicate in a highly hierarchical, disassortative way, but the successful ones break this trend and their communication networks are structured in a more egalitarian way.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.351
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64093
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Social Networking and Communities
dc.subject degree assortativity
dc.subject group cohesion
dc.subject peer production
dc.subject quality
dc.title Quality in Peer Production Systems – Impact of Assortativity of Communication Networks on Group Efficacy
dc.type Conference Paper
dc.type.dcmi Text
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