Characterization of academic genealogy trees by means of graph metrics

• Luciano Rossi Federal University of ABC
• Jesús P. Mena-Chalco Federal University of ABC

Abstract

Documenting individuals and their relationships using the genealogyaims to obtain knowledge about the origin, evolution and characteristics of interrelatedgroups. This approach allows to understand the formation and futuretrends of groups. In this context, the characterization of the academic genealogytrees by topological metrics allows to categorize individuals screened bytheir academic lineage and enables to obtain important new knowledge for understandingthe scientific scenario about an area. In this work, we present nineadapted and developed topological metrics to characterize academic genealogytrees. In order to show the feasibility of our characterization method by makinguse of topological metrics, we present an experiment focusing on the analysis ofthe genealogy of Johann Bernoulli (1667-1748), consisting of 81, 768 mathematiciansand 88, 955 relationships of academic advising.

Keywords: Genealogy, Graphs, Social Network Analysis

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