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Scientific community networks impact how quickly consensus is reached, but finding the best answer depends on the question

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Area of Science:

  • * Network science
  • * Epistemology
  • * Scientific communication

Background:

  • * Scientific communities function as epistemic agents seeking answers through communication.
  • * Scientific communication pathways can be modeled as networks.
  • * Network structure and question type influence accuracy and consensus speed.

Purpose of the Study:

  • * To precisely identify how scientific community features interact with scientific question features.
  • * To introduce a measure for the difficulty of answering empirical questions.
  • * To investigate the impact of communication networks on finding the best answer and reaching consensus.

Main Methods:

  • * Modeling scientific communities as networks of epistemic agents.
  • * Introducing a novel measure for empirical question difficulty.
  • * Analyzing network structures across the Watts-Strogatz spectrum.
  • * Quantifying two epistemic desiderata: accuracy and consensus time.

Main Results:

  • * Consensus time in models correlates with network mean path length.
  • * Identifying the best answer does not correlate with mean path length or clustering coefficient.
  • * Different network structures yield distinct patterns for accuracy and consensus.

Conclusions:

  • * Network topology significantly influences the speed of scientific consensus.
  • * The factors determining the accuracy of scientific findings are distinct from those affecting consensus speed.
  • * Understanding these network dynamics is crucial for optimizing scientific inquiry.