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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

Other contributions: Universitat de Girona. Departament d’Economia
Author: Coromina Soler, Lluís
Guia Julve, Jaume Oscar
Coenders, Germà
Abstract: 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
Document access: http://hdl.handle.net/2072/14656
Language: eng
Publisher: Universitat de Girona. Departament d’Economia
Rights: Aquest document està subjecte a una llicència Creative Commons: Reconeixement – No comercial – Sense obra derivada (by-nc-nd)
Rights URI: http://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca
Subject: Xarxes socials
Rendiment
Èxit
Title: Social network measures for "nosduocentered" networks, their predictive power on performance
Type: info:eu-repo/semantics/workingPaper
Repository: Recercat

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