Driving forces in researchers mobility

Résultats de recherche: Livre/Rapport/RevueAutre rapport

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Résumé

Starting from the dataset of the publication corpus of the APS during the period 1955-2009, we reconstruct the individual researchers trajectories, namely the list of the consecutive affiliations for each scholar. Crossing this information with different geographic datasets we embed these trajectories in a spatial framework. Using methods from network theory and complex systems analysis we characterise these patterns in terms of topological network properties and we analyse the dependence of an academic path across different dimensions: the distance between two subsequent positions, the relative importance of the institutions (in terms of number of publications) and some socio-cultural traits. We show that distance is not al-
ways a good predictor for the next affiliation while other factors like "the previous steps" of the career of the researchers (in particular the first position) or the linguistic and historical similarity between two countries can have an important impact. Finally we show that the dataset exhibit a memory effect, hence the fate of a career strongly
depends from the first two affiliations.
langue originaleAnglais
Lieu de publicationNamur
EditeurNamur center for complex systems
Nombre de pages23
Volume4
Edition12
étatPublié - 2 déc. 2013

Série de publications

NomnaXys Technical Report Series
EditeurUniversity of Namur
Numéro12
Volume4

Empreinte digitale

trajectory
systems analysis
method
effect

Citer ceci

Gargiulo, F., & Carletti, T. (2013). Driving forces in researchers mobility. (12 Ed.) (naXys Technical Report Series; Vol 4, Numéro 12). Namur: Namur center for complex systems.
Gargiulo, Floriana ; Carletti, Timoteo. / Driving forces in researchers mobility. 12 Ed. Namur : Namur center for complex systems, 2013. 23 p. (naXys Technical Report Series; 12).
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abstract = "Starting from the dataset of the publication corpus of the APS during the period 1955-2009, we reconstruct the individual researchers trajectories, namely the list of the consecutive affiliations for each scholar. Crossing this information with different geographic datasets we embed these trajectories in a spatial framework. Using methods from network theory and complex systems analysis we characterise these patterns in terms of topological network properties and we analyse the dependence of an academic path across different dimensions: the distance between two subsequent positions, the relative importance of the institutions (in terms of number of publications) and some socio-cultural traits. We show that distance is not al-ways a good predictor for the next affiliation while other factors like {"}the previous steps{"} of the career of the researchers (in particular the first position) or the linguistic and historical similarity between two countries can have an important impact. Finally we show that the dataset exhibit a memory effect, hence the fate of a career stronglydepends from the first two affiliations.",
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author = "Floriana Gargiulo and Timoteo Carletti",
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Gargiulo, F & Carletti, T 2013, Driving forces in researchers mobility. naXys Technical Report Series, Numéro 12, VOL. 4, VOL. 4, 12 edn, Namur center for complex systems, Namur.

Driving forces in researchers mobility. / Gargiulo, Floriana; Carletti, Timoteo.

12 Ed. Namur : Namur center for complex systems, 2013. 23 p. (naXys Technical Report Series; Vol 4, Numéro 12).

Résultats de recherche: Livre/Rapport/RevueAutre rapport

TY - BOOK

T1 - Driving forces in researchers mobility

AU - Gargiulo, Floriana

AU - Carletti, Timoteo

PY - 2013/12/2

Y1 - 2013/12/2

N2 - Starting from the dataset of the publication corpus of the APS during the period 1955-2009, we reconstruct the individual researchers trajectories, namely the list of the consecutive affiliations for each scholar. Crossing this information with different geographic datasets we embed these trajectories in a spatial framework. Using methods from network theory and complex systems analysis we characterise these patterns in terms of topological network properties and we analyse the dependence of an academic path across different dimensions: the distance between two subsequent positions, the relative importance of the institutions (in terms of number of publications) and some socio-cultural traits. We show that distance is not al-ways a good predictor for the next affiliation while other factors like "the previous steps" of the career of the researchers (in particular the first position) or the linguistic and historical similarity between two countries can have an important impact. Finally we show that the dataset exhibit a memory effect, hence the fate of a career stronglydepends from the first two affiliations.

AB - Starting from the dataset of the publication corpus of the APS during the period 1955-2009, we reconstruct the individual researchers trajectories, namely the list of the consecutive affiliations for each scholar. Crossing this information with different geographic datasets we embed these trajectories in a spatial framework. Using methods from network theory and complex systems analysis we characterise these patterns in terms of topological network properties and we analyse the dependence of an academic path across different dimensions: the distance between two subsequent positions, the relative importance of the institutions (in terms of number of publications) and some socio-cultural traits. We show that distance is not al-ways a good predictor for the next affiliation while other factors like "the previous steps" of the career of the researchers (in particular the first position) or the linguistic and historical similarity between two countries can have an important impact. Finally we show that the dataset exhibit a memory effect, hence the fate of a career stronglydepends from the first two affiliations.

KW - social networks

KW - human mobility

KW - research dynamics

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BT - Driving forces in researchers mobility

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Gargiulo F, Carletti T. Driving forces in researchers mobility. 12 Ed. Namur: Namur center for complex systems, 2013. 23 p. (naXys Technical Report Series; 12).