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TSIF — Temporal Structural Inheritance Framework (v0.1)

Motivation

Most genealogy tools model lineage as a biological tree (parent → child).
Digital history often needs a model of structural inheritance: how people inherit and expand positions across places, institutions, and domains over generations.

TSIF proposes:

A generation inherits not only persons, but also structural embedding within geography, institutions, and activity domains.

Core Entities (Node Types)

  • Person: historical actor with (birth_year, death_year, generation)
  • Generation: dynasty-scoped generation index (1,2,3…)
  • Place: city/region nodes
  • Institution: banks, companies, guilds, houses, etc.
  • Domain: finance, brewing, trade, politics, etc.
  • (Optional) Event: wars, reforms, policy shifts (context anchors)

Relations (Edge Types)

  • PARENT_OF, SPOUSE_OF
  • EMBEDDED_IN (Person → Place)
  • AFFILIATED_WITH (Person → Institution)
  • ACTIVE_IN (Person → Domain)
  • BELONGS_TO_GENERATION (Person → Generation)
  • (Optional) CONTEXTUALIZED_BY (Person/Institution → Event)

TSIF Metrics

Structural Footprint (per generation)

For dynasty D and generation g:

  • places_count(g) = distinct places linked by persons in g
  • institutions_count(g) = distinct institutions linked by persons in g
  • domains_count(g) = distinct domains linked by persons in g
  • reach_2hop_count(g) = unique nodes reachable within 2 hops from persons in g

Inheritance Shift (between generations)

Between consecutive generations:

  • Δplaces = places_count(g+1) - places_count(g)
  • Δinstitutions = institutions_count(g+1) - institutions_count(g)
  • Δdomains = domains_count(g+1) - domains_count(g)
  • Δreach_2hop = reach_2hop_count(g+1) - reach_2hop_count(g)

Demo Dataset Notice

This repository includes a minimal illustrative dataset (Rothschild, Guinness) to demonstrate TSIF mechanics.
It is not intended as exhaustive historical reconstruction.