This blog is in development and not yet mature. It is intended for developers and not general use.
The Power of Graph Methods
Overview of how a graph database works and support genealogy research.
Introduction to Graphs for Genealogists
GFG is a web toolkit to assst genealogists ...
Autosomal DNA analytics in surname projects
Family Tree DNA supports surname projects. Participants either share a surname themselves or have Y-DNA matches to the surname. In the latter case, there was likely a surname change somwhere back in the lineage. Surname projects group men based on haplogroups and the pattern of single nucleotide polymorphisms (SNPs). It is not unusual for projects to have numerous groups. Within a group the project seeks to identify a common male ancestor (CMA). When there are well documented family trees the CM
Dimensionality Reduction in Genealogy
Genealogy big data complexity can be simplified using dimensionality reduction algorithms helping genealogists find high value matches sharng a distance common ancestor.
Neo4j Genealogy PlugIn
Genealogy data involves multiple graphs. It is prudent to develop user defined functions (UDF) to simplify data uploads, reports and analytics which will encourage more genealogists to adopt Neo4j.
Graph Strategy for Overlapping Segments
Graph methods bypass challenging computations of overlapping segmments.