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Analysis of co-authorship ego networks

Abstract:

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. In this paper, we analyse a large sample of data regarding scientific publications from Google Scholar. The aim of our analysis is to study a fundamental aspect of co-authorship networks,...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-28361-6_7

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
Publisher:
Springer Publisher's website
Journal:
Advances in Network Science Journal website
Volume:
9564
Pages:
82-96
Host title:
12th International Conference and School, NetSci-X 2016
Publication date:
2016-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
Source identifiers:
598758
ISBN:
9783319283609
Keywords:
Pubs id:
pubs:598758
UUID:
uuid:a96779e9-aa83-4245-8047-a75edd595593
Local pid:
pubs:598758
Deposit date:
2016-03-14

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