<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A network is a set of nodes connected via edges, with possibly directions and weights on the edges. Sometimes, in a multi-layer network, the nodes can also be heterogeneous. In this perspective, based on previous studies, we argue that networks can be regarded as the infrastructure of scientometrics in the sense that networks can be used to represent scientometric data. Then the task of answering various scientometric questions related to this data becomes an algorithmic problem in the corresponding network.</p></abstract>

A network is a set of nodes connected via edges, with possibly directions and weights on the edges. Sometimes, in a multi-layer network, the nodes can also be heterogeneous. In this perspective, based on previous studies, we argue that networks can be regarded as the infrastructure of scientometrics in the sense that networks can be used to represent scientometric data. Then the task of answering various scientometric questions related to this data becomes an algorithmic problem in the corresponding network.

Infrastructure of Scientometrics: The Big and Network Picture

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Infrastructure of Scientometrics: The Big and Network Picture"}

A network is a set of nodes connected via edges, with possibly directions and weights on the edges. Sometimes, in a multi-layer network, the nodes can also be...

Infrastructure of Scientometrics: The Big and Network Picture

Article Category: Perspective

Publié en ligne: 27 déc. 2019

Pages: 1 - 12

Reçu: 16 nov. 2019

Accepté: 29 nov. 2019

DOI: https://doi.org/10.2478/jdis-2019-0017

Mots clés
Network science, Scientometrics

© 2019 Jinshan Wu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Figure 1

Infrastructure of Scientometrics: The Big and Network Picture

Article Category: Perspective

Publié en ligne: 27 déc. 2019

Pages: 1 - 12

Reçu: 16 nov. 2019

Accepté: 29 nov. 2019

DOI: https://doi.org/10.2478/jdis-2019-0017

Mots clésNetwork science, Scientometrics

© 2019 Jinshan Wu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Figure 1

Mots clés
Network science, Scientometrics