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description Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2021 FrancePublisher:Springer Science and Business Media LLC Authors: David Chavalarias; Quentin Lobbé; Alexandre Delanoë;David Chavalarias; Quentin Lobbé; Alexandre Delanoë;« Dessine-moi un mouton » a demandé le Petit Prince à Saint-Exupéry. Que se serait-il passé s'il lui avait demandé de dessiner la science ? Comment aurait-il pu s’y prendre et qu'aurions-nous pu apprendre de cette expérience ? Dans cet article, nous abordons la question de la représentation de la science en tirant parti de la numérisation massive de la production scientifique, et en nous concentrant sur son corpus de connaissances. Nous démontrons comment nous pouvons reconstruire, à partir des traces numériques massives de la science, une représentation relativement précise et concise de ses structures dynamiques, qui peut être saisie par l'esprit humain et explorée de manière interactive. À cette fin, nous mobilisons l’approche systèmes complexe pour formaliser les notions de niveau et d'échelle dans le cas des dynamiques de la connaissance ; puis nous introduisons une nouvelle définition formelle des réseaux phylomemetiques, objets mathématiques qui reconstruisent les dynamiques de la connaissance. Nous proposons ensuite un nouvel algorithme de reconstruction des réseaux phylomemetiques, plus performant que ce qui avait été proposé jusqu’alors. Nous montrons également comment cette approche permet de définir naturellement un nouveau type de clustering temporel sur les graphes dynamiques. Enfin, nous montrons sur plusieurs cas d’étude que cette approche produit des représentations de la dynamique des connaissances proches de celles que l'on obtient en synthétisant des points de vue d'experts. The little prince asked Saint-Exupéry to draw him a sheep, but what if he had asked him to be drawn Science? How could he have done it and what could we have learned from it? In this article, we address the question of ``drawing science'' by taking advantage of the massive digitization of scientific production, and focusing on its body of knowledge. We demonstrate how we can reconstruct, from the massive digital traces of science, a reasonably precise and concise approximation of its dynamical structures that can be grasped by the human mind and explored interactively. For this purpose, we formalize the notion of level and scale of knowledge dynamics as complex systems and we introduce a new formal definition for phylomemetic networks as dynamical reconstruction of knowledge dynamics. We propose a new reconstruction algorithm for phylomemetic networks that outperforms previous ones and demonstrate how this approach also makes it possible to define a new temporal clustering on dynamical graphs. Finally, we show in case studies that this approach produces representations of knowledge dynamics close to the ones that can be obtained by synthesizing the points of view of experts on a given domain.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8606253Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021Full-Text: https://hal.science/hal-03180347v2/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-021-04186-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8606253Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021Full-Text: https://hal.science/hal-03180347v2/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-021-04186-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 FrancePublisher:Springer Science and Business Media LLC Authors: Domingo Docampo; Jean-Jacques Bessoule;Domingo Docampo; Jean-Jacques Bessoule;International audience; A plethora of bibliometric indicators is available nowadays to gauge research performance. The spectrum of bibliometric based measures is very broad, from purely size-dependent indicators (e.g. raw counts of scientific contributions and/or citations) up to size-independent measures (e.g. citations per paper, publications or citations per researcher), through a number of indicators that effectively combine quantitative and qualitative features (e.g. the h-index). In this paper we present a straightforward procedure to evaluate the scientific contribution of territories and institutions that combines size-dependent and scale-free measures. We have analysed in the paper the scientific production of 189 countries in the period 2006-2015. Our approach enables effective global and field-related comparative analyses of the scientific productions of countries and academic/research institutions. Furthermore, the procedure helps to identifying strengths and weaknesses of a given country or institution, by tracking variations of performance ratios across research fields. Moreover, by using a straightforward wealth-index, we show how research performance measures are highly associated with the wealth of countries and territories. Given the simplicity of the methods introduced in this paper and the fact that their results are easily understandable by non-specialists, we believe they could become a useful tool for the assessment of the research output of countries and institutions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-019-03089-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-019-03089-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
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description Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2021 FrancePublisher:Springer Science and Business Media LLC Authors: David Chavalarias; Quentin Lobbé; Alexandre Delanoë;David Chavalarias; Quentin Lobbé; Alexandre Delanoë;« Dessine-moi un mouton » a demandé le Petit Prince à Saint-Exupéry. Que se serait-il passé s'il lui avait demandé de dessiner la science ? Comment aurait-il pu s’y prendre et qu'aurions-nous pu apprendre de cette expérience ? Dans cet article, nous abordons la question de la représentation de la science en tirant parti de la numérisation massive de la production scientifique, et en nous concentrant sur son corpus de connaissances. Nous démontrons comment nous pouvons reconstruire, à partir des traces numériques massives de la science, une représentation relativement précise et concise de ses structures dynamiques, qui peut être saisie par l'esprit humain et explorée de manière interactive. À cette fin, nous mobilisons l’approche systèmes complexe pour formaliser les notions de niveau et d'échelle dans le cas des dynamiques de la connaissance ; puis nous introduisons une nouvelle définition formelle des réseaux phylomemetiques, objets mathématiques qui reconstruisent les dynamiques de la connaissance. Nous proposons ensuite un nouvel algorithme de reconstruction des réseaux phylomemetiques, plus performant que ce qui avait été proposé jusqu’alors. Nous montrons également comment cette approche permet de définir naturellement un nouveau type de clustering temporel sur les graphes dynamiques. Enfin, nous montrons sur plusieurs cas d’étude que cette approche produit des représentations de la dynamique des connaissances proches de celles que l'on obtient en synthétisant des points de vue d'experts. The little prince asked Saint-Exupéry to draw him a sheep, but what if he had asked him to be drawn Science? How could he have done it and what could we have learned from it? In this article, we address the question of ``drawing science'' by taking advantage of the massive digitization of scientific production, and focusing on its body of knowledge. We demonstrate how we can reconstruct, from the massive digital traces of science, a reasonably precise and concise approximation of its dynamical structures that can be grasped by the human mind and explored interactively. For this purpose, we formalize the notion of level and scale of knowledge dynamics as complex systems and we introduce a new formal definition for phylomemetic networks as dynamical reconstruction of knowledge dynamics. We propose a new reconstruction algorithm for phylomemetic networks that outperforms previous ones and demonstrate how this approach also makes it possible to define a new temporal clustering on dynamical graphs. Finally, we show in case studies that this approach produces representations of knowledge dynamics close to the ones that can be obtained by synthesizing the points of view of experts on a given domain.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8606253Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021Full-Text: https://hal.science/hal-03180347v2/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-021-04186-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8606253Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021Full-Text: https://hal.science/hal-03180347v2/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-021-04186-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 FrancePublisher:Springer Science and Business Media LLC Authors: Domingo Docampo; Jean-Jacques Bessoule;Domingo Docampo; Jean-Jacques Bessoule;International audience; A plethora of bibliometric indicators is available nowadays to gauge research performance. The spectrum of bibliometric based measures is very broad, from purely size-dependent indicators (e.g. raw counts of scientific contributions and/or citations) up to size-independent measures (e.g. citations per paper, publications or citations per researcher), through a number of indicators that effectively combine quantitative and qualitative features (e.g. the h-index). In this paper we present a straightforward procedure to evaluate the scientific contribution of territories and institutions that combines size-dependent and scale-free measures. We have analysed in the paper the scientific production of 189 countries in the period 2006-2015. Our approach enables effective global and field-related comparative analyses of the scientific productions of countries and academic/research institutions. Furthermore, the procedure helps to identifying strengths and weaknesses of a given country or institution, by tracking variations of performance ratios across research fields. Moreover, by using a straightforward wealth-index, we show how research performance measures are highly associated with the wealth of countries and territories. Given the simplicity of the methods introduced in this paper and the fact that their results are easily understandable by non-specialists, we believe they could become a useful tool for the assessment of the research output of countries and institutions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-019-03089-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11192-019-03089-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu