Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks

By Ying Ding. J. Informetrics, 2011

435 citations recorded by the source corpus.

Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to collaborate with or cite researchers with the same or different interests, and whether highly cited authors tend to collaborate with or cite each other. Taking information retrieval as a test field, the results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests; they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them; and highly cited authors do not generally coauthor with each other, but closely cite each other.

Subfields: Information Systems, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a05bc5604aa1f99368fca710d6c6d331db07fb4a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

In Statistical and Nonlinear Physics

In Statistics and Probability

Citations in the corpus

The science of science: from the perspective of complex systems (2017, background): “The study of the co-evolution of collaboration networks and citation networks brings much insight to understanding the success of scientists’ career [105,106], which will be discussed later in Section 6.”
Measuring Scholarly Impact (2014, neutral): “A number of authors have used PageRank, weighted PageRank and a number of its extensions to evaluate or rank papers and authors (Ding, 2011; Ding, Yan, Frazho, & Caverlee, 2009; Radicchi, Fortunato, Markines, & Vespignani, 2009; Yan & Ding, 2011; Życzkowski, 2010).”