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ergm.userterms: A Template Package for Extending statnet.

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Summary
This summary is machine-generated.

This study introduces ergm.userterms, an R package template for expanding Exponential-family Random Graph Models (ERGMs) capabilities. It simplifies custom network statistic programming within the statnet software suite for advanced network analysis.

Keywords:
Markov chain Monte Carloexponential-family random graph modelmaximum likelihood estimationp-star model

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Area of Science:

  • Network analysis
  • Statistical modeling
  • Computational statistics

Background:

  • Exponential-family Random Graph Models (ERGMs) are essential for statistical network analysis.
  • The statnet software suite provides tools for ERGM implementation.
  • Custom network statistics can enhance ERGM flexibility and analytical power.

Purpose of the Study:

  • To present a method for expanding ERGM capabilities through custom network statistics.
  • To introduce the ergm.userterms R package as a template for this purpose.
  • To provide insights into statnet's internal workings for user-driven development.

Main Methods:

  • Development of the ergm.userterms R package as a modifiable template.
  • Explanation of internal statnet functionalities relevant to user-defined terms.
  • Demonstration of how to program and integrate new network statistics into ERGM analyses.

Main Results:

  • The ergm.userterms package offers a streamlined approach to creating custom network statistics for ERGMs.
  • Users can effectively expand the analytical scope of ERGM modeling using this template.
  • Understanding statnet internals facilitates the development of bespoke network analysis tools.

Conclusions:

  • The ergm.userterms package significantly lowers the barrier for users to customize ERGM analyses.
  • This approach empowers researchers to tailor network models to specific research questions.
  • Enhanced ERGM capabilities through custom statistics improve the depth and breadth of network analysis.