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Social network measures for "nosduocentered" networks, their predictive power on performance

Our purpose in this article is to define a network structure which is based on two egos instead of the egocentered (one ego) or the complete network (n egos). We describe the characteristics and properties for this kind of network which we call “nosduocentered network”, comparing it with complete and egocentered networks. The key point for this kind of network is that relations exist between the two main egos and all alters, but relations among others are not observed. After that, we use new social network measures adapted to the nosduocentered network, some of which are based on measures for complete networks such as degree, betweenness, closeness centrality or density, while some others are tailormade for nosduocentered networks. We specify three regression models to predict research performance of PhD students based on these social network measures for different networks such as advice, collaboration, emotional support and trust. Data used are from Slovenian PhD students and their s

Universitat de Girona. Departament d’Economia

Altres contribucions: Universitat de Girona. Departament d’Economia
Autor: Coromina Soler, Lluís
Guia Julve, Jaume Oscar
Coenders, Germà
Resum: Our purpose in this article is to define a network structure which is based on two egos instead of the egocentered (one ego) or the complete network (n egos). We describe the characteristics and properties for this kind of network which we call “nosduocentered network”, comparing it with complete and egocentered networks. The key point for this kind of network is that relations exist between the two main egos and all alters, but relations among others are not observed. After that, we use new social network measures adapted to the nosduocentered network, some of which are based on measures for complete networks such as degree, betweenness, closeness centrality or density, while some others are tailormade for nosduocentered networks. We specify three regression models to predict research performance of PhD students based on these social network measures for different networks such as advice, collaboration, emotional support and trust. Data used are from Slovenian PhD students and their s
Accés al document: http://hdl.handle.net/2072/14656
Llenguatge: eng
Editor: Universitat de Girona. Departament d’Economia
Drets: Aquest document està subjecte a una llicència Creative Commons: Reconeixement – No comercial – Sense obra derivada (by-nc-nd)
URI Drets: http://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca
Matèria: Xarxes socials
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Títol: Social network measures for "nosduocentered" networks, their predictive power on performance
Tipus: info:eu-repo/semantics/workingPaper
Repositori: Recercat

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