Global academic exchange and cooperation have become an increasing trend in both academia and industry, but how to quickly and effectively identify potential partners is becoming an urgent problem. This paper proposes a link prediction-based model to help researchers identify partners from a large collection of academic articles in a given technological area. We initially construct a co-authorship network, and take a series of indices based on network and similarity of researchers into consideration. A fitting model of link prediction is then established, in which logistic regression analysis is involved. An empirical study on four journals of informetrics is conducted to demonstrate the reliability of the proposed method.
Author(s): Lu Huang, Yihe Zhu, Yi Zhang, Xiao Zhou, Xiang Jia
Organization(s): Beijing Institute of Technology
Source: 2018 Portland International Conference on Management of Engineering and Technology (PICMET)
Mathematical models are relevant to indicate the optimal location of facilities and, consequently, help in the search for efficiency in the supply chain. Although facility location problems are consolidated in the Operational Research field, few publications are dedicated to investigate the profile of the academic production (the amount of paper published), aiming to direct new studies on the subject and propose models that solve the current challenges. Thus, this paper aims to present a scientometric analysis of the articles on facility location published in the Web of Science, in order to verify the profile of Brazilian scientific production. As result, approximately 2% of the papers have researchers affiliated to Brazilian institutions. The interest for the subject is recent, with emphasis on universities. Brazil maintains an intense international collaboration network, cooperating with 45 different countries, especially USA. Finally, there is opportunity for publications that include the environmental dimention to mathematical models and for expansion in company-university-government collaboration.
Author(s): Vanessa de Almeida Guimarães, Glaydston Mattos Ribeiro, Maxwel de Azevedo-Ferreira
Organization(s): Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET/RJ, Programa de Engenharia de Transportes – COPPE/UFRJ
Source: Pesquisa Operacional
Ethanol obtained from the conversion process of different types of biomass is a renewable source of fuel and since 2010 it has been classified as an “advanced fuel” by the EPA, due to its contribution to the reduction of the impacts of GHG emissions. Recent literature stresses the importance of the use of second-generation fuels to reduce the impacts of the direct and indirect use of land, mostly on agricultural prices. Although these demands constitute a clear clue to R&D activities, there are an impressive number of alternatives, regarding different kinds of biomass, processes and byproducts, a complex matrix of technological opportunities and the demands that generates a clear incentive for collaboration. This paper uses both the Bibliometry and Scientometry approach and the Innovation System (IS) literature under the perspective of Social Networks Analysis (SNA) to build Collaborative Networks (CNs) to the second-generation ethanol (lignocellulosic) using ISI Web of Science database. The adopted procedure emerges once authors, countries and institutions related to bioenergy have incentives to share information in the process of creating a new role in partnership—a network point-of-view. The results show that the United States is in a better position than other countries, improving the role of the university in their IS while China proves to be a great ally of the United States regarding the production of technology to produce lignocellulosic ethanol. Brazil however, does not appear well placed in the network, despite being the second largest producer of first-generation ethanol in the world.
Author(s): Luiz Gustavo Antonio de Souza, Márcia Azanha Ferraz Dias de Moraes, Maria Ester Soares Dal Poz, José Maria Ferreira Jardim da Silveira
Organization(s): University of Campinas and University of São Paulo
The integration of national research systems is one of the central objectives of European research policies. Yet the epistemic objectives of this project have been poorly defined, and scant attention has been paid to whether political, social and financial integration of the European Research Area (ERA) is accompanied by epistemic integration. We discuss the conceptual framework and methodological practices to monitor research integration, and conclude that most of them, such as research collaboration, are only partial indicators of it. To augment existing approaches with an analysis of epistemic integration, we analyse the geographical sources of knowledge of Finnish research in the period 1995–2010. We show a broad shift towards a European knowledge base, demonstrating epistemic integration into the ERA, and that Finnish researchers are, paradoxically, sourcing knowledge from an increasingly distributed system of European knowledge hubs. As policy implications, we recommend clarifying the ERA’s epistemic objectives and redefining its strategy of ‘reducing fragmentation’.
Author(s): Hannes Toivanen and Arho Suominen
Organization(s): VTT Technical Research Centre of Finland
Source: Science and Public Policy