Conference item
Analysis of a planetary scale scientific collaboration dataset reveals novel patterns
- Abstract:
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Scientific collaboration networks are an important component of scientific output and contribute significantly to expanding our knowledge and to the economy and gross domestic product of nations. Here we examine a dataset from the Mendeley scientific collaboration network. We analyze this data using a combination of machine learning techniques and dynamical models. We find interesting clusters of countries with different characteristics of collaboration. Some of these clusters are dominated b...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 486.2KB)
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- Publisher copy:
- 10.1007/978-3-319-45901-1_7
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Authors
Bibliographic Details
- Publisher:
- Springer International Publishing Publisher's website
- Journal:
- Complex Systems Digital Campus 2015 – World e-Conference, Conference on Complex Systems Journal website
- Pages:
- 85-90
- Series:
- Springer Proceedings in Complexity
- Host title:
- Complex Systems Digital Campus 2015 – World e-Conference, Conference on Complex Systems
- Publication date:
- 2016-12-26
- Acceptance date:
- 2016-12-01
- DOI:
- ISSN:
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2213-8684
- Source identifiers:
-
668957
- ISBN:
- 9783319459011
Item Description
- Pubs id:
-
pubs:668957
- UUID:
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uuid:e29e24b2-339e-4d76-95ab-ce38e8b418a4
- Local pid:
- pubs:668957
- Deposit date:
- 2017-01-11
Terms of use
- Copyright holder:
- © Springer International Publishing Switzerland 2017
- Copyright date:
- 2016
- Notes:
- This is the author accepted manuscript following peer review version of the article. The final version is available online from Springer International Publishing at: 10.1007/978-3-319-45901-1_7
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