The Artificial Immune Systems Domain Identifying Progress and Main Contributors using Publicationand Co-Authorship Analyses.

Abstract : Much can be learned about the progress, fathers and future of a scientific domain from the analysis of a collection of relevant articles and their corresponding authors. Here, we study the highly interdisciplinary domain of Artificial Immune System (AIS) since its birth, a couple of decades ago. We apply Social Network Analysis to the coauthorship network of the most comprehensive publicly accessible AIS bibliography. We automatically extract publication dates and author names from the bibliography and evaluate authors with the highest degree (unique collaborations) and centrality (influence). Our results highlight the relative growth of publication volume and identify significant contributors in the AIS field. Furthermore, our findings are not only encouraging for the AIS community but may be useful for analyses of other scientific communities and leading contributors therein.
Type de document :
Communication dans un congrès
ECAL, 2013, Taormina, Italy. 12, 2013, Advances in Artificial Life, ECAL
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https://hal-auf.archives-ouvertes.fr/hal-01082962
Contributeur : Alaa Abi Haidar <>
Soumis le : vendredi 14 novembre 2014 - 16:43:11
Dernière modification le : mercredi 21 mars 2018 - 18:58:09

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  • HAL Id : hal-01082962, version 1

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AFRIQ | UPMC | I3 | LIP6

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Alaa Abi Haidar, Jean-Gabriel Ganascia, Adrien Six, Véronique Thomas-Vaslin. The Artificial Immune Systems Domain Identifying Progress and Main Contributors using Publicationand Co-Authorship Analyses.. ECAL, 2013, Taormina, Italy. 12, 2013, Advances in Artificial Life, ECAL. 〈hal-01082962〉

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