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Related Experiment Video

Updated: Feb 14, 2026

BioMEMS: Forging New Collaborations Between Biologists and Engineers
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Consensus dynamics in online collaboration systems.

Ilire Hasani-Mavriqi1,2, Dominik Kowald1,2, Denis Helic2

  • 11Know-Center GmbH, Research Center for Data-Driven Business & Big Data Analytics, Inffeldgasse 13/6, 8010 Graz, Austria.

Computational Social Networks
|February 9, 2018
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User similarity can slow consensus in online systems. Increasing social status influence helps users reach agreement faster, balancing these factors is key for efficient collaboration.

Keywords:
Consensus dynamicsInteraction networksOnline collaboration systemsSimilaritySocial status

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Area of Science:

  • Computational Social Science
  • Network Science
  • Online Collaboration Systems

Background:

  • Investigates opinion dynamics and consensus building in online collaboration environments.
  • Examines how user similarity and social status influence group agreement.
  • Focuses on the interplay between individual attributes and collective behavior.

Purpose of the Study:

  • To understand the impact of user similarity and social status on consensus dynamics.
  • To analyze how these factors affect opinion diffusion in online communities.
  • To identify optimal conditions for achieving consensus in collaborative systems.

Main Methods:

  • Employs the Naming Game model to simulate opinion diffusion.
  • Extends the model with interaction mechanisms based on user similarity and social status.
  • Conducts experiments using real-world collaborative datasets from the Web.

Main Results:

  • User similarity alone delays the consensus-building process.
  • Increasing the influence of user social status accelerates consensus.
  • The interplay between similarity and status significantly shapes opinion dynamics.

Conclusions:

  • Optimal consensus building requires balancing user similarity and social status.
  • Social status can be leveraged to facilitate agreement in online collaborations.
  • Findings provide insights into managing opinion dynamics in digital communities.