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A comparative study on the reliability of co-authorship networks with emphases on edges and nodes
(Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, 2016-07-01)
A scientific co-authorship network may be modeled by a graph G composed of k nodes and m edges. Researchers that make up this network may be interpreted as its nodes and the link between these agents (co-authored papers) ...
Analysing research collaboration through co-authorship networks in a big data environment: An efficient parallel approach
(2020-01-01)
Bibliometry is the quantitative study of scientific productions and enables the characterisation of scientific collaboration networks. However, with the development of science and the increase of scientific production, ...
Co-authorship network analysis in health research: method and potential use
(BioMed Central, 2017)
A measure of reliability for scientific co-authorship networks using fuzzy logic
(2021-01-01)
Studies on the reliability of scientific co-authorship networks identify whether they are reliable, according to their researchers’ participation and how strong the co-authorship relationships are. Co-authorship among ...
A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes
(Elsevier B.V., 2017-01-01)
The co-authorship among members of a research group commonly can be represented by a (co-authorship) graph in which nodes represent the researchers that make up of this group and edges represent the connections between two ...
VizLattes: a tool for relevance analysis from scientific co-authorship networks
(Sociedade Brasileira de Computação - SBCUniversidade Federal da Bahia - UFBASalvador, 2015-08)
Social network data typically carry attribute information associated with the individuals and to their relationships. Such interconnected information can be useful to identify groups of individuals sharing common attribute ...
El Efecto Matilda en la red de coautorías Hispanoamericana en Comunicación
Literature has noted that female researchers encounter a 'Matilda effect' that tends to undervalue and marginalize their contributions and role in their scientific communities. This paper tests whether any such effect is ...
Automatic authorship analysis using Deep neural networks
(2018-08-31)
Authorship analysis helps to study the characteristics that distinguish how two different persons write. Writing style can be extracted in several ways, like using bag of words strategies or handcrafted features. However, ...
A produção audiovisual no ensino fundamental: uma aposta na autoria e coautoria dos estudantes
(Universidade Federal de Santa MariaBrasilEducaçãoUFSMPrograma de Pós-Graduação em Tecnologias Educacionais em RedeCentro de Educação, 2018-03-13)
This study, associated with the research’s line Development of Educational Technologies in Network, from the Post-Graduation Program of Educational Technologies in Network, Professional Masters of Federal University of ...