An exploratory social network analysis of academic research networks
|Author||Toral, S. L.
Martínez Torres, María del Rocío
|Department||Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)
Universidad de Sevilla. Departamento de Ingeniería Electrónica
|Published in||Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011)|
|Abstract||For several decades, academics around the world have been collaborating with the view to support the development of their research domain. Having said that, the majority of scientific and technological policies try to encourage the creation of strong inter-related research groups in order to improve the efficiency of research outcomes and subsequently research funding allocation. In this paper, we attempt to highlight and thus, to demonstrate how these collaborative networks are developing in practice. To achieve this, we have developed an automated tool for extracting data about joint article publications and analyzing them from the perspective of social network analysis. In this case study, we have limited data from works published in 2010 by England academic and research institutions. The outcomes of this work can help policy makers in realising the current status of research collaborative networks in England|
DOI: http://dx.doi.org/10.1109/INCoS.2011.49Editor´s version: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6132774
This item appears in the following collection(s)
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Showing items related by title, author, creator and subject.
Huete García, María Ángeles (Universidad de Sevilla, 2011)Este trabajo analiza el acceso diferenciado a redes sociales -formales e informales, de país de origen y de país de destino- por parte de los emigrantes residentes en la ciudad de Sevilla. Para ello se ha realizado una ...
Stromatias, Evangelos; Soto, Miguel; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media, 2017)This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) System capable of yielding good classification results when using both synthetic input data and real ...
Giving Neurons to Sensors: An Approach to QoS Management Through Artificial Intelligence in Wireless Networks [Presentation]Barbancho Concejero, Julio; León de Mora, Carlos; Molina Cantero, Francisco Javier; Barbancho Concejero, Antonio (Springer, 2006)For the latest ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, selforganizing network ...