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Related Experiment Video

Updated: Feb 8, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
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Manipulating concept spread using concept relationships.

James Archbold1, Nathan Griffiths1

  • 1Department of Computer Science, University of Warwick, Coventry, United Kingdom.

Plos One
|June 29, 2018
PubMed
Summary

This study introduces a new method for indirectly manipulating concept spread by considering concept interactions. The maximum probable gain heuristic effectively boosts or inhibits concept propagation in complex environments.

Area of Science:

  • Social network analysis
  • Computational social science
  • Information diffusion modeling

Background:

  • Influence spread in populations is modeled as cascades from initial agents.
  • Identifying influential individuals has applications in epidemic control, marketing, and social norms.
  • Real-world concept spread involves interactions that can boost or inhibit propagation.

Purpose of the Study:

  • To address the lack of consideration for concept interactions in previous influence spread models.
  • To enable indirect concept manipulation by leveraging interactions between concepts.
  • To propose and evaluate heuristics for boosting or inhibiting concept spread in interactive environments.

Main Methods:

  • Development of a framework to represent interactions between multiple concepts.

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  • Proposal of the 'maximum probable gain' heuristic to identify influential paths for concept manipulation.
  • Comparison of the proposed heuristic against established methods for influence spread manipulation.

    • Main Results:

    • The 'maximum probable gain' heuristic demonstrates effectiveness in indirectly manipulating concept spread.
    • The framework successfully models complex interactions between numerous concepts.
    • Established heuristics were used as a benchmark for performance comparison.

    Conclusions:

    • Considering concept interactions is crucial for effective indirect concept manipulation.
    • The 'maximum probable gain' heuristic offers a promising approach for controlling influence spread.
    • This research opens new avenues for managing information diffusion in complex social systems.