A New Approach to Detect Communities in Multi-weighted Co-authorship Networks

Cervantes, Evelyn Perez; Mena‐Chalco, Jesús Pascual

doi:10.1109/sccc.2010.31

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…They tested their approach using publications from six conferences of two different domains: information retrieval and the World Wide Web. Cervantes and Mena‐Chalco () used multiweighted coauthorship networks to detect communities. The algorithm developed in that study identified communities in a more realistic way by considering different kinds of coauthorship relations.…”

Section: Related Workmentioning

confidence: 99%

Brazilian bibliometric coauthorship networks

Mena‐Chalco

Digiampietri

Lopes

et al. 2014

Asso for Info Science & Tech

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The Brazilian Lattes Platform is an important academic/ résumé data set that registers all academic activities of researchers associated with different major knowledge areas. The academic information collected in this data set is used to evaluate, analyze, and document the scientific production of research groups. Information about the interactions between Brazilian researchers in the form of coauthorships, however, has not been analyzed. In this article, we identified and characterized Brazilian academic coauthorship networks of researchers registered in the Lattes Platform using topological properties of graphs. For this purpose, we explored (a) strategies to develop a large Lattes curricula vitae data set, (b) an algorithm for identifying automatic coauthorships based on bibliographic information, and (c) topological metrics to investigate interactions among researchers. This study characterized coauthorship networks to gain an in-depth understanding of the network structures and dynamics (social behavior) among researchers in all available major Brazilian knowledge areas. In this study, we evaluated information from a total of 1,131,912 researchers associated with the eight major Brazilian knowledge areas: agricultural sciences; biological sciences; exact and earth sciences; humanities; applied social sciences; health sciences; engineering; and linguistics, letters, and arts.

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Section: Related Workmentioning

confidence: 99%

Brazilian bibliometric coauthorship networks

Mena‐Chalco

Digiampietri

Lopes

et al. 2014

Asso for Info Science & Tech

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“…Bibliometrics is the measure of the impact of scientific publications (Cervantes & Mena-Chalco, 2010) through a set of mathematical and statistical principles, applied to knowledge production. For the purpose of knowledge development, bibliometrics is a powerful method to obtain systematic data.…”

Section: Introductionmentioning

confidence: 99%

“…The practical conclusions regarding a collaboration network are based on the logical inference that authors who share a scientific work are personally acquainted and able to influence each other (Newman 2001(Newman , 2004Cervantes & Mena-Chalco, 2010;.The simplest and most common representations of such networks consider co-authorship performing no magnitude distinction and constructing unweighted networks (Cervantes & Mena-Chalco, 2010;Opsahl et al, 2010), but more intricate approaches address differences among co-authorship links such as considering recurrence and proportion (Newman 2001), the sort of scientific production (Cervantes & Mena-Chalco, 2010) or how recent the collaboration occurred (Cervantes et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Análisis de influencia de la red de colaboración de opciones reales

Fagundes¹,

Nogueira²

2019

ODE

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La teoría de opciones reales surgió como una alternativa para valorar las flexibilidades arraigadas en proyectos y ha adquirido popularidad desde finales del siglo xx. A través de métodos bibliométricos y teoría de grafos, este documento crea un análisis de la red de colaboración compuesta por los investigadores de opciones reales, que incluye trabajos científicos de dieciocho años. En este esfuerzo identificamos meticulosamente a los autores y sus alianzas de coautoría, encontrando una topología distinta sin un componente gigante. Al desarrollar modelos no ponderados y ponderados, la red se desenreda y proporciona mediciones a partir de la propensión a la internacionalización y el cálculo de diferentes métricas de impacto, que reconocen a los investigadores más relevantes sobre el tema.

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