The work presented in the article “Consensus Dynamics in Online Collaboration Systems” was conducted by Ilire Hasani-Mavriqi, Dominik Kowald and Elisabeth Lex from the Social Computing team of the Know Center in a closed collaboration with Denis Helic from the Institute of Interactive Systems and Data Science at Graz University of Technology.
Authors studied consensus building processes taking place in online collaboration systems, in which users interact with each other following their common interests and their social profiles. In collaboration systems such as online encyclopediae, question & answering (Q&A) sites or discussion forums, users engage in complex interactions with others to reach a common goal, such as to write an article or to answer a difficult question.
In particular, authors investigated how users’ similarity and their social status in the community, as well as the interplay of those two factors, influence the process of consensus dynamics.
The findings presented in this article show that when users are guided by their similarity to other users, the process of consensus building in online collaboration systems is delayed. A suitable increase of influence of social status on their actions can in turn facilitate this process. Consequently, a careful balance between these two factors can lead to an optimal configuration for a faster consensus.
We congratulate all authors for this great success!
The article is published OpenAccess.
Link to the article: http://rdcu.be/F2zJ
Hasani-Mavriqi, I., Kowald, D., Helic, D., & Lex, E. Consensus Dynamics in Online Collaboration Systems. In Computational Social Networks (2018) 5:2. SpringerOpen. https://doi.org/10.1186/s40649-018-0050-1