https://collections.enfance-jeunesse.fr/files/original/48644ad1ee010f295682c52847faa657 2aaa978bc1b4a343154955e78b9c1e94 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource arXiv.org Snapshot https://collections.enfance-jeunesse.fr/files/original/2c2b39265caf18e75a67d14e4fa0aafe c823e37043561d8a0e767a3740972547 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource arXiv:1408.5571 PDF Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Bibliographie sur la généalogie et les pratiques généalogiques dans le monde Description An account of the resource Bibliographie sur la généalogie et les pratiques généalogiques dans le monde, réalisée dans le cadre du programme EnJeux, sous la direction de Patrice Marcilloux, professeur d'archivistique, et Bénédicte Grailles, maîtresse de conférences en archivistique (CERHIO-Angers CNRS UMR 6258, Université d'Angers), par Adelaïde Laloux, ingénieure d'étude, en décembre 2015, complétée par Verónica Zurita, étudiante-stagiaire du master Dynamiques et actions sociales territoriales (Université d'Angers) et Bénédicte Grailles en février 2016 Creator An entity primarily responsible for making the resource Adelaïde Laloux Contributor An entity responsible for making contributions to the resource Adélaïde Laloux Bénédicte Grailles Verónica Zurita Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Quantitative Analysis of Genealogy Using Digitised Family Trees Type The nature or genre of the resource Journal Article Creator An entity primarily responsible for making the resource Michael Fire Thomas Chesney Yuval Elovici Date A point or period of time associated with an event in the lifecycle of the resource 2014-08-24 Zotero Title Quantitative Analysis of Genealogy Using Digitised Family Trees Item Type Journal Article Author Michael Fire Thomas Chesney Yuval Elovici URL http://arxiv.org/abs/1408.5571 Publication Title arXiv Date 2014-08-24 Extra arXiv: 1408.5571 Access Date 2015-07-07 12:07:40 Library Catalog arXiv.org Abstract Note Driven by the popularity of television shows such as Who Do You Think You Are? many millions of users have uploaded their family tree to web projects such as WikiTree. Analysis of this corpus enables us to investigate genealogy computationally. The study of heritage in the social sciences has led to an increased understanding of ancestry and descent but such efforts are hampered by difficult to access data. Genealogical research is typically a tedious process involving trawling through sources such as birth and death certificates, wills, letters and land deeds. Decades of research have developed and examined hypotheses on population sex ratios, marriage trends, fertility, lifespan, and the frequency of twins and triplets. These can now be tested on vast datasets containing many billions of entries using machine learning tools. Here we survey the use of genealogy data mining using family trees dating back centuries and featuring profiles on nearly 7 million individuals based in over 160 countries. These data are not typically created by trained genealogists and so we verify them with reference to third party censuses. We present results on a range of aspects of population dynamics. Our approach extends the boundaries of genealogy inquiry to precise measurement of underlying human phenomena. Attachment Title arXiv.org Snapshot arXiv:1408.5571 PDF Attachment URL [No URL] [No URL] Computer Science - Social and Information Networks Physics - Physics and Society