Videos

Speakers: • David A Stumpf, Principle, Who Am I, LLC • Weidong Yang, Founder & President, Kineviz Session type: Full Length Session Abstract: Graphs for Genealogists (GFG) is an open-source software package with an application front-end, visualization in GraphXR, a graph database, and a plugin designed for genealogy data management and analytics. The ETL loads family tree data in GECOM format, consumer DNA test results, and genealogist-curated files that create links between graphs. The analytics provide new insights and actionable recommendations for further genealogy research. GFG traversals collect concatenated strings to create Ahnentafel numbers and enable filtering on X-linked inheritance and other patterns. Traversals from the family tree through DNA matches to chromosome segment data find triangulation groups and monophyletic segments aligned with specific family tree branches. Graph algorithms from Neo4j Graph Data Science reveal communities aligned with family tree branches. Hierarchical trees include patrilineal trees, DNA haplotrees, ORDPATH-enhanced renderings, and hybrids linking these together. Chromosome painting and 3D renderings help users interpret the results. Recommendations include manageable sets of persons from a pool of over 250,000 DNA matches. There are many opportunities for further development of graph analytics in this billion-dollar industry.