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README.rst

sosia

Match authors automatically in Scopus on-line

Documentation: https://sosia.readthedocs.io

Development: https://github.com/sosia-dev/sosia

https://readthedocs.org/projects/sosia/badge/?version=latest https://api.codeclimate.com/v1/badges/3e10a47fefae831b973a/maintainability

Installation

Install stable version from PyPI:

pip install sosia

or development version from GitHub repository:

pip install git+https://github.com/sosia-dev/sosia

Functioning

sosia performs a series of queries in the Scopus database using the pybliometrics package. After configuring your local pybliometrics (providing access credentials and eventually setting cache directories), you can use sosia:

>>> import sosia
>>>
>>> sosia.create_fields_sources_list()  # Necessary only once
>>> sosia.make_database()  # Necessary only once
>>>
>>> stefano = sosia.Original(55208373700, 2019)  # Scopus ID and year
>>> stefano.define_search_sources()  # Sources similiar to scientist
>>> stefano.define_search_group()  # Authors publishing in similar sources
>>> stefano.find_matches()  # Find matches satisfying all criteria
>>> print(stefano.matches)
>>> ['55022752500', '55810688700', '55824607400']
>>> stefano.inform_matches()  # Optional step to provide additional information
>>> print(stefano.matches[0])
Match(ID='55022752500', name='Van der Borgh, Michel', first_name='Michel',
surname='Van der Borgh', first_year=2012, num_coauthors=6, num_publications=5,
num_citations=33, num_coauthors_period=6, num_publications_period=5,
num_citations_period=33, subjects=['BUSI', 'COMP', 'SOCI'], country='Netherlands',
affiliation_id='60032882', affiliation='Eindhoven University of Technology,
Department of Industrial Engineering & Innovation Sciences', language='eng',
reference_sim=0.0, abstract_sim=0.1217)

Change log

Please see CHANGES.rst.

Contributing

Please see CONTRIBUTING.rst. For the list of contributors see AUTHORS.rst.

License

MIT License; see LICENSE.

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Sosia: Automatic author matching in Scopus on-line

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