Analysis of Kinship Relations With Pajek
Author(s) -
Vladimir Batagelj,
Andrej Mrvar
Publication year - 2007
Publication title -
social science computer review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.3
H-Index - 73
eISSN - 1552-8286
pISSN - 0894-4393
DOI - 10.1177/0894439307299587
Subject(s) - kinship , bipartite graph , multiplication (music) , computer science , theoretical computer science , matrix multiplication , combinatorics , mathematics , graph , sociology , physics , quantum mechanics , anthropology , quantum
In the article, two general approaches to analysis of large sparse networks are presented: fragment searching and matrix multiplication. These two approaches are applied to analysis of large genealogies. Genealogies can be represented as graphs in different ways: as Ore graphs, p-graphs, or bipartite p-graphs. We show that p-graphs are more suitable for searching for relinking patterns, whereas Ore graphs are better for computing kinship relations using network multiplication. Algorithms described in this article are implemented in the program Pajek.
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