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Co-authorship network and the correlation with academic performance [PDF]

open access: yesInternet of Things (Netherlands), 2020
This paper aims to study the internal structure of the co-authorship network and the relationship between the network and the authors’ academic performance in the network. In order to conduct this research, bibliographic data of 166 authors from three top higher education institutions of Shanghai was collected and the method of social network analysis (
Qianwen Ariel Xu, Víctor Chang
exaly   +2 more sources

On the co-authorship network in evolutionary computation

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020
With increased research achievements in the field of evolutionary computation, accurate identification and analysis of co-authorship characteristics have become more important than before. Therefore, in this study, a co-authorship network was used to analyze the aspects of collaboration in the evolutionary computation field.
Dong-Pil Yu, Yong-Hyuk Kim
openaire   +1 more source

Trend and efficiency analysis of co-authorship network

Scientometrics, 2011
Although co-authorship in scientific research has a long history the analysis of co-authorship network to explore scientific collaboration among authors is a relatively new research area. Studies of current literature about co-authorship networks mostly give emphasis to understand patterns of scientific collaborations, to capture collaborative ...
Shahadat Uddin   +2 more
exaly   +4 more sources

Issues in the analysis of co-authorship networks

Quality & Quantity, 2011
Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships.
Domenico De Stefano   +2 more
openaire   +2 more sources

Predicting Collaborations in Co-authorship Network

2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2019
In this paper, we study the problem of predicting collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, in which authors play the role of nodes, and weighted edges connecting two authors are formed by storing either a number or quality metric of research papers co-authored
Ilya Makarov, Olga Gerasimova
openaire   +1 more source

Networks of Co-Authorship

2012
The networks are transorganizational arrangements forming a structure and, in a more abstract and generic manner, are built from the interactions between individuals and organizations. These interactions allow the emergence of network structures more related to personal ties and the types of existing social interactions between the actors.
Antonio José Caulliraux Pithon   +2 more
openaire   +1 more source

Co-authorship networks analysis

2021
Sociology is the foundation stone of the contemporary research field of Social Network Analysis. In 1830’s this field was introduced for the first time (Linton, 2004) and this was the beginning of a new area of science. Since then, Social Network Analysis has been in the center of scientists’ concern and much work is being done until today. The goal of
openaire   +1 more source

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