Match authors automatically in Scopus on-line
Documentation: https://sosia.readthedocs.io
Development: https://github.com/sosia-dev/sosia
Install stable version from PyPI:
pip install sosia
or development version from GitHub repository:
pip install git+https://github.com/sosia-dev/sosia
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 are ready to use sosia:
>>> import sosia
>>>
>>> # You need the Scopus ID and the year, then set the similarity parameters
>>> stefano = sosia.Original(55208373700, 2019, same_field=True, first_year_margin=2,
>>> pub_margin=0.2, cits_margin=0.2, coauth_margin=0.2)
>>> stefano.define_search_sources() # Sources similiar to scientist
>>> stefano.define_search_group(chunk_size=2) # Authors publishing in similar sources every 2 years
>>> stefano.find_matches() # Find matches satisfying all criteria
>>> print(stefano.matches)
>>> [55320703900, 55817553500, 56113324000, 56276429200]
>>> stefano.inform_matches() # Optional step to provide additional information
>>> print(stefano.matches[0])
Match(ID=55320703900, name='Arts, Sam', first_name='Sam', surname='Arts',
first_year=2012, num_coauthors=9, num_publications=8, num_citations=74,
num_coauthors_period=None, num_publications_period=None, num_citations_period=None, subjects=['BUSI', 'ECON', 'DECI'],
affiliation_country='Belgium', affiliation_id='60025063',
affiliation_name='KU Leuven', affiliation_type='univ',
language='eng', num_cited_refs=28)
Please see CHANGES.rst.
Please see CONTRIBUTING.rst. For the list of contributors see AUTHORS.rst.
MIT License; see LICENSE.