Results 11 to 20 of about 180,900 (280)

Co-authorship networks in Swiss political research [PDF]

open access: yesSwiss Political Science Review, 2015
Co-authorship is an important indicator of scientific collaboration. Co-authorship networks are composed of sub-communities, and researchers can gain visibility by connecting these insulated subgroups.
Ingold, Karin, Leifeld, Philip
core   +4 more sources

Analyzing Interdisciplinary Research Using Co-Authorship Networks

open access: yesComplexity, 2022
With the advancement of scientific collaboration in the 20th century, researchers started collaborating in many research areas. Researchers and scientists no longer remain solitary individuals; instead, they collaborate to advance fundamental ...
Mati Ullah   +7 more
doaj   +2 more sources

Social stratification in networks: insights from co-authorship networks. [PDF]

open access: yesJ R Soc Interface, 2023
It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. With the rise in human interaction data and extensive use of online social networks, the structure of social networks (representing connections between ...
Jalali ZS, Introne J, Soundarajan S.
europepmc   +4 more sources

On the Formation of Circles in Co-authorship Networks [PDF]

open access: yesProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
The availability of an overwhelmingly large amount of bibliographic information including citation and co-authorship data makes it imperative to have a systematic approach that will enable an author to organize her own personal academic network profitably. An effective method could be to have one's co-authorship network arranged into a set of "circles",
Tanmoy Chakraborty 0002   +3 more
openaire   +2 more sources

Research topic flows in co-authorship networks

open access: yesScientometrics, 2022
AbstractIn scientometrics, scientific collaboration is often analyzed by means of co-authorships. An aspect which is often overlooked and more difficult to quantify is the flow of expertise between authors from different research topics, which is an important part of scientific progress.
Bastian Schäfermeier   +2 more
openaire   +2 more sources

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

open access: yesInternet of Things, 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, Victor I. C. Chang
openaire   +1 more source

Scientific co-authorship networks

open access: yesCoRR, 2017
The paper addresses the stability of the co-authorship networks in time. The analysis is done on the networks of Slovenian researchers in two time periods (1991-2000 and 2001-2010). Two researchers are linked if they published at least one scientific bibliographic unit in a given time period. As proposed by Kronegger et al.
Marjan Cugmas   +2 more
openaire   +2 more sources

The structure of segregation in co-authorship networks and its impact on scientific production

open access: yesEPJ Data Science, 2023
Co-authorship networks, where nodes represent authors and edges represent co-authorship relations, are key to understanding the production and diffusion of knowledge in academia.
Ana Maria Jaramillo   +3 more
doaj   +1 more source

From sand to networks: a study of multi-disciplinarity [PDF]

open access: yes, 2005
In this paper, we study empirically co-authorship networks of neighbouring scientific disciplines, and describe the system by two coupled networks. By considering a large time window, we focus on the properties of the interface between the disciplines ...
Albert   +25 more
core   +3 more sources

On Spectral Partitioning of Co-authorship Networks [PDF]

open access: yes, 2012
Spectral partitioning is a well known method in the area of graph and matrix analysis. Several approaches based on spectral partitioning and spectral clustering were used to detect structures in real world networks and databases. In this paper, we explore two community detection approaches based on the spectral partitioning to analyze a co-authorship ...
Václav Snásel   +4 more
openaire   +2 more sources

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