Results 11 to 20 of about 51,156 (259)
Social stratification in networks: insights from co-authorship networks. [PDF]
J 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.
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Research topic flows in co-authorship networks
Scientometrics, 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
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On the Formation of Circles in Co-authorship Networks [PDF]
Proceedings 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
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Co-authorship network and the correlation with academic performance [PDF]
Internet 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
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Hubs and Authorities in a Spanish Co-authorship Network [PDF]
2009 13th International Conference Information Visualisation, 2009 How can the prestige of research centres forming part of scientific co-authorship networks focused on Physiology and Pharmacology be measured? This paper attempts to answer that question on the basis of a bibliometric analysis of Spanish scientific production in these areas of research between 1995 and 2005 as listed in Thomson Reuters’ Science ...
María Antonia Ovalle-Perandones +2 more
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Scientific co-authorship networks
CoRR, 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
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Co‐authorship Networks in Swiss Political Research [PDF]
Swiss Political Science Review, 2015 AbstractCo‐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. This article presents a comprehensive co‐authorship network analysis of Swiss political science.
Leifeld, Philip, Ingold, Karin
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On Spectral Partitioning of Co-authorship Networks [PDF]
, 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
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The structure of segregation in co-authorship networks and its impact on scientific production
EPJ 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
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Analysis of Co-authorship Ego Networks
, 2016 The availability of co-authorship data from large-scale electronic databases is paving the way for new analyses on human collaboration networks. The complex network of co-authorships can identify specific features that characterise the behaviour of researchers, and impact on their production and performance.
Arnaboldi V +3 more
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