Results 11 to 20 of about 7,508,036 (284)

Co‐authorship Networks in Swiss Political Research [PDF]

open access: yesSwiss 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
core   +7 more sources

Predicting co-author relationship in medical co-authorship networks. [PDF]

open access: yesPLoS ONE, 2014
Research collaborations are encouraged because a synergistic effect yielding good results often appears. However, creating and organizing a strong research group is a difficult task.
Qi Yu   +5 more
doaj   +2 more sources

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

open access: yesJournal of The Royal Society 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 ...
Zeinab S. Jalali   +2 more
openaire   +5 more sources

Analysis of Co-authorship Ego Networks [PDF]

open access: yes, 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
core   +6 more sources

Social Network: a Cytoscape app for visualizing co-authorship networks [version 3; referees: 1 approved, 2 approved with reservations] [PDF]

open access: yesF1000Research, 2015
Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically.
Victor Kofia   +3 more
doaj   +2 more sources

Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases

open access: yesJournal of Data and Information Science, 2017
This study aims to answer the question to what extent different types of networks can be used to predict future co-authorship among authors.
Guns Raf
doaj   +2 more sources

Co-Authorship Networks Of Scientific Collaboration

open access: yes, 2016
This study analyzes collaborative and networked academic authorship in higher education. The literature review shows evidence that single authorship has made a gradual paradigm shift to joint authorship. The empirical evidence from the Turku University of Applied Sciences indicates that collaborative authorship has notably increased in the last few ...
Juha Kettunen
openaire   +5 more sources

An Improved AdaBoost Algorithm for Highly Imbalanced Datasets in the Co-Authorship Recommendation Problem

open access: yesIEEE Access, 2023
The co-authorship recommendation problem is attractive since it helps researchers extend collaboration to improve the quality of scientific articles as well as promote innovation.
Vo Duc Quang   +3 more
doaj   +1 more source

Visualization of scientific co-authorship in Spanish universities : From regionalization to internationalization [PDF]

open access: yes, 2009
Purpose – The purpose of this paper is to visualize the inter-university and international collaboration networks generated by Spanish universities based on the co-authorship of scientific articles.
De-Moya-Anegón, Félix   +4 more
core   +2 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

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