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Related Experiment Video

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Undermining and Strengthening Social Networks through Network Modification.

Jonathan Mellon1,2, Jordan Yoder1,3, Daniel Evans1

  • 1Network Science Center, United States Military Academy, West Point, NY, USA.

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This study introduces a flexible framework for network modification to achieve specific goals. It demonstrates optimizing interventions beyond node removal for network structures, like reducing terrorist attacks or strengthening entrepreneurial ties.

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Area of Science:

  • Social network analysis
  • Computational social science
  • Network science

Background:

  • Social networks significantly impact individual and aggregate behaviors.
  • Understanding network structure is crucial for effective interventions.
  • Existing methods for network intervention are often limited in scope.

Purpose of the Study:

  • To develop a comprehensive framework for network modification.
  • To allow for diverse objective functions, intervention types, and network recovery mechanisms.
  • To explore novel intervention strategies beyond simple node removal.

Main Methods:

  • Developed a general framework for network modification.
  • Incorporated arbitrary objective functions, modification types (edge/node changes, covariate adjustments), and recovery mechanisms.
  • Utilized Exponential Random Graph Models (ERGMs) for simulating network evolution post-intervention.

Main Results:

  • Demonstrated the framework's utility through two case studies: terrorist network intervention and entrepreneurial ecosystem strengthening.
  • Showcased the impact of empirically calibrating objective functions and recovery mechanisms.
  • Highlighted the effectiveness of optimized interventions beyond node removal.

Conclusions:

  • The proposed framework advances network intervention methodologies.
  • Empirical calibration of intervention parameters is vital for maximizing impact.
  • The framework opens new avenues for strategically influencing social network structures.