A multilayer and spatial description of the Erasmus mobility network

Gadár, László; Kosztyán, Zsolt Tibor; Telcs, András; Abonyi, János

doi:10.1038/s41597-020-0382-1

Cited by 16 publications

(9 citation statements)

References 17 publications

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“…The merged data focused on HEIs. ETER, Erasmus and the GRID 4 databases have already been connected and geo-coded by Gadár et al (2020). We extended this database and linked FP7 projects from the CORDIS database, Leiden's indicators from Fig.…”

Section: Data Sources and Methods Employedmentioning

confidence: 99%

Investigating collaborative and mobility networks: reflections on the core missions of universities

et al. 2021

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Given the significant role of universities in economic growth and social progress as well as the increasing demand for greater transparency regarding the use of public money, a valid assessment of university performance has become crucial for various stakeholders, including government, industry, funding agencies, and society at large. Contemporary assessments still focus solely on universities’ properties, thereby failing to capture their network relations. To overcome this limitation, this paper proposes a multilayer network-based method to measure the embeddedness of universities in collaboration and mobility networks. This method has several advantages: first, it is relevant for HEIs’ core missions, introducing a new dimension complementary to the existing rankings; second, it is size invariant; and last but not least, it is fully transparent. The proposed multilayer network approach enables the integration of further networks, which creates opportunities for a more comprehensive assessment of universities’ performance in achieving their core missions.

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Section: Data Sources and Methods Employedmentioning

confidence: 99%

Investigating collaborative and mobility networks: reflections on the core missions of universities

et al. 2021

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“…It is also possible to construct multilayer networks (such as applied by Gadár et al . 25 ) to analyze the relationship between the two fields, and adding publication time as a dimension enables us to model the evolution of these research fields. Due to the geocoded variables, spatial analysis can also be conducted, even with spatial citation networks, to identify geographical patterns.…”

Section: Usage Notesmentioning

confidence: 99%

A global database for conducting systematic reviews and meta-analyses in innovation and quality management

Csizmadia

Katona

2022

Sci Data

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Innovation and quality management are two fundamental business orientations that complement each other in improving performance and are important drivers of long-term economic growth. These themes have generated widespread attention in the literature; however, most of these studies mainly focused on a narrow area and only in a short term. No systematic effort has been made to build an extended bibliometric database regarding these research areas, which can be immediately used to conduct literature reviews. This study presents a complete (from 1975–2021), up-to-date, preprocessed and geocoded bibliometric database combining published articles of the two themes. The data collection was performed following the PRISMA methodology. The database consists of seven data tables, including one core dataset with 59,231 records and six citation network-related tables, including latitude and longitude values of the affiliations. These data will benefit researchers conducting comparative and in-depth analyses, such as gaining an overview of relevant existing studies, identifying relevant trends and gaining opportunities for a variety of geographic analyses.

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“…The ERASMUS network, defined by nodes and edges, is considered a spatially embedded, multilabel and multidimensional network. The open and linked dataset of the ERASMUS exchange network, published in 2020 (Gadár et al 2020), offers completely new analytical possibilities for network scientists. The compilation of the dataset aims to better understand ERASMUS mobility patterns and the motivational and attractiveness factors behind travel.…”

Section: Data Employedmentioning

confidence: 99%

“…We assume that this gap is due to the lack of a proper database. Gadár et al (2020) geocoded the HEIs and merged them with the microdata of the first comprehensive database on European HEIs (ETER) (Project 2013) to expand the information available regarding the nodes in the network.…”

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confidence: 99%

Cooperation patterns in the ERASMUS student exchange network: an empirical study

et al. 2022

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The ERASMUS program is the most extensive cooperation network of European higher education institutions. The network involves 90% of European universities and hundreds of thousands of students. The allocated money and number of travelers in the program are growing yearly. By considering the interconnection of institutions, the study asks how the program’s budget performs, whether the program can achieve its expected goals, and how the program contributes to the development of a European identity, interactions among young people from different countries and learning among cultures. Our goal was to review and explore the elements of network structures that can be used to understand the complexity of the whole ERASMUS student mobility network at the institutional level. The results suggest some socioeconomic and individual behavioral factors underpinning the emergence of the network. While the nodes are spatially distributed, geographical distance does not play a role in the network’s structure, although parallel travelling strategies exist, i.e., in terms of preference of short- and long-distance. The European regions of home and host countries also affect the network. One of the most considerable driving forces of edge formation between institutions are the subject areas represented by participating institutions. The study finds that faculties of institutions are connected rather than institutions, and multilayer network model suggested to explore the mechanisms of those connections. The results indicate that the information uncovered by the study is helpful to scholars and policymakers.

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A multilayer and spatial description of the Erasmus mobility network

Cited by 16 publications

References 17 publications

Investigating collaborative and mobility networks: reflections on the core missions of universities

Investigating collaborative and mobility networks: reflections on the core missions of universities

A global database for conducting systematic reviews and meta-analyses in innovation and quality management

Cooperation patterns in the ERASMUS student exchange network: an empirical study

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