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Global scientific collaboration: A social network analysis and data mining of the co-authorship networks

Journal of information science, 2021
Co-authorship networks consist of nodes and numerous links indicating scientific collaboration of researchers. These networks could be studied through social networks analysis and data mining techniques.
Alireza Isfandyari-Moghaddam   +4 more
semanticscholar   +1 more source

Co-authorship 2.0

Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 2011
The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities. To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance ...
David Laniado, Riccardo Tasso
openaire   +1 more source

Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis

Lecture Notes in Social Networks, 2020
Two decades ago three pioneering papers turned the attention to complex networks and initiated a new era of research, establishing an interdisciplinary field called network science. Namely, these highly-cited seminal papers were written by Watts&Strogatz,
Roland Molontay, Marcell Nagy
semanticscholar   +1 more source

What is co-authorship?

Scientometrics, 2016
Science and technology policy academics and evaluators use co-authorship as a proxy for research collaboration despite knowing better. Anecdotally we understand that an individual might be listed as an author on a particular publication for numerous reasons other than research collaboration.
Branco Ponomariov, Craig Boardman
openaire   +1 more source

Economics of co-authorship [PDF]

open access: possibleEconomic Analysis and Policy, 2014
Abstract Starting with the literature on the rising incidence of co-authorship in economics, this paper presents a theoretical model to analyze choices of co-authorship based on the assumption that authors are motivated to optimize the returns to publications.
openaire   +2 more sources

Networks of Co-Authorship

2012
The networks are transorganizational arrangements forming a structure and, in a more abstract and generic manner, are built from the interactions between individuals and organizations. These interactions allow the emergence of network structures more related to personal ties and the types of existing social interactions between the actors.
Antonio José Caulliraux Pithon   +2 more
openaire   +1 more source

Predicting Collaborations in Co-authorship Network

International Workshop on Semantic and Social Media Adaptation and Personalization, 2019
In this paper, we study the problem of predicting collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, in which authors play the role of nodes, and weighted edges ...
Ilya Makarov, Olga Gerasimova
semanticscholar   +1 more source

Co-authorship network analysis of AI applications in sustainable supply chains: Key players and themes

Journal of Cleaner Production, 2023
Mehrdad Maghsoudi   +4 more
semanticscholar   +1 more source

Bibliometrics and co-authorship

2021
This chapter reviews co-authorship in relation to bibliometrics studies. It presents what co-authorship means in bibliometric studies, how co-authoring relates to research productivity, and how the methodological decision effects whether co-authoring increases productivity.
openaire   +2 more sources

On the Co-authorship network analysis in the Process Mining research Community: A social network analysis perspective

Expert systems with applications, 2022
Mohammad Reza HabibAgahi   +2 more
semanticscholar   +1 more source

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