A Case Study of Genealogical Networks from Network Science Perspective

Imre Varga

2023

Abstract

In this paper, the analysis of a genealogical network is presented. The source database was constructed from the records of birth, marriage and death registers of a medium-sized Hungarian town covering some centuries. This genealogical network contains ca. 100.000 individuals. The topological features of this acyclic directed graph were analyzed by computer software in order to draw conclusions about the community. The results illustrate how network science can help the social sciences. A new measure is also defined to quantify the degree of pedigree collapse of a person having a partially known ancestor graph. The network was analyzed from the point of view of this ancestor-loss coefficient.

Paper Citation

in Harvard Style

Varga I. (2023). A Case Study of Genealogical Networks from Network Science Perspective. In Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-644-6, SciTePress, pages 47-52. DOI: 10.5220/0011723800003485

in Bibtex Style

@conference{complexis23,
author={Imre Varga},
title={A Case Study of Genealogical Networks from Network Science Perspective},
booktitle={Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2023},
pages={47-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011723800003485},
isbn={978-989-758-644-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - A Case Study of Genealogical Networks from Network Science Perspective
SN - 978-989-758-644-6
AU - Varga I.
PY - 2023
SP - 47
EP - 52
DO - 10.5220/0011723800003485
PB - SciTePress