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On the co-authorship network in evolutionary computation
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020With 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
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Trend and efficiency analysis of co-authorship network
Scientometrics, 2011Although 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 ...
Alireza Abbasi +2 more
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Issues in the analysis of co-authorship networks
Quality & Quantity, 2011Scientific 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
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Predicting Collaborations in Co-authorship Network
2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2019In 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
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Analysis of Researcher Co-authorship Network
2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015This work analyzes the co-authorship of science papers published by university teachers, and then constructs are searcher co-authorship network and characterizes the network by some varying quantities: the clustering coefficient, the average degree, diameter, average distance and components.
Jiana Meng
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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
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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
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Co-authorship networks analysis
2021Sociology 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
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Co-authorship networks: a review of the literature
Aslib Journal of Information Management, 2015Purpose– The purpose of this paper is to attempt to provide a review of the growing literature on co-authorship networks and the research gaps that may be investigated for future studies in this field.Design/methodology/approach– The existing literature on co-authorship networks was identified, evaluated and interpreted.
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Evolution of Scale-Freeness in a Co-authorship Network
2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013Many natural networks including social networks are scale-free, i.e. the distribution of node degrees in the network is heavy-tailed and follows the power law. In this work we analyze the scale-free properties of selected subnets of a complex co-authorship network induced by significant nodes (authors) and the evolution of these properties in time. The
Pavel Krömer +3 more
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Extraction of Co-authorship Networks
2018The extraction of a co-authorship network from a set of bibliographic records in which articles and authors are uniquely identified is an easily solvable problem. However, in a vast majority of bibliographic databases authors are identified by their names.
Miloš Savić +2 more
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