Network graphs and leveraging NetworkX Python library

In the the “Collaborate on Optimizing a new Custom Rule” thread, @StoltHD suggests:

I prompted Perplexity AI to “assess the posting and expound upon what networkx is, and how it could be utilized to design a python module for use in Gramps”

Perplexity responds:
This posting suggests using network graphs, specifically with the NetworkX library in Python, to represent and analyze genealogical data in Gramps. Let’s break this down and explore the concept:

NetworkX:

NetworkX is a powerful Python library for working with complex networks and graph structures. (Under the Open source 3-clause BSD license) It provides tools for creating, manipulating, and studying the structure, dynamics, and functions of complex networks. Key features include:

  1. Support for various types of graphs (directed, undirected, multi-graphs)
  2. A wide range of graph algorithms (shortest paths, centrality measures, community detection, etc.)
  3. Network analysis and visualization capabilities
  4. Integration with other scientific Python libraries (NumPy, SciPy, matplotlib)

Utilizing NetworkX for a Gramps module:

  1. Data representation:
  • Nodes: Represent Gramps objects (individuals, families, events, places, etc.)
  • Edges: Represent relationships between objects (parent-child, spouse, event participation, etc.)
  1. Module functionality:
  • Create a graph from Gramps database
  • Implement genealogy-specific algorithms (e.g., finding common ancestors, identifying pedigree collapse)
  • Visualize family trees and relationships
  • Perform network analysis on genealogical data
  1. Integration with Gramps:
  • Develop as a Python Gramplet or script for the SuperTool plugin
  • Provide an interface for users to interact with the graph structure
  • Offer visualization options within the Gramps UI
  1. Potential features:
  • “Show nearest neighbor” with n-hops: Identify related individuals within a specified number of relationship steps
  • Identify potential missing links or inconsistencies in the family tree
  • Calculate relationship paths between individuals
  • Detect and visualize pedigree collapse or intermarriage patterns
  1. Benefits:
  • Improved data exploration and analysis capabilities
  • Enhanced visualization of complex family relationships
  • Potential for discovering new insights or connections in genealogical data

By leveraging NetworkX’s capabilities, a Gramps module could provide powerful tools for genealogists to analyze and visualize their family history data in new and insightful ways. The graph-based approach would allow for more complex queries and analyses that might be difficult or impossible with traditional database queries alone.

From Water Programming: A Collaborative Research Blog; January 19, 2021 by Antonia Hadjimichael

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