def obtain_network_from_scopus(query):
"""
Obtains a reference network from scopus for a given query
"""
articles = {}
search_result = scopus.ScopusSearch(query)
print("Start downloading the abstracts")
for eid in search_result.EIDS:
article = scopus.ScopusAbstract(eid, view="FULL")
articles[eid] = article
#time.sleep(200) # six per second allowed, let's do five
print(".", end="")
print("\nAll downloaded")
connections = []
for article in articles.values():
if not article.references:
print("No references found for '{eid}'".format(eid=article.eid))
continue
for reference in article.references:
print(".", end="")
if reference in articles:
connections.append((article, articles[reference]))
return connections
def test_authkeywords():
ab2 = scopus.ScopusAbstract("2-s2.0-0000212165", view="FULL", refresh=True)
authkeywords = ab2.authkeywords
assert_true(len(authkeywords) == 3)
assert_equal(authkeywords[0], 'Fuzzy clustering')
assert_equal(authkeywords[1], 'Fuzzy modelling')
assert_equal(authkeywords[2], 'Unsupervised learning')
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `ScopusAbstract` module."""
from nose.tools import assert_equal, assert_true
import scopus
ab = scopus.ScopusAbstract("2-s2.0-84930616647", view="FULL", refresh=True)
def test_affiliations():
affs = ab.affiliations
assert_true(len(affs) == 1)
aff = affs[0]
assert_true(isinstance(aff, scopus.scopus_api._ScopusAffiliation))
assert_equal(aff.id, '60027950')
assert_equal(aff.affilname, 'Carnegie Mellon University')
assert_equal(aff.city, 'Pittsburgh')
assert_equal(aff.country, 'United States')
link = 'https://api.elsevier.com/content/affiliation/affiliation_id/60027950'
assert_equal(aff.href, link)
def test_aggregationType():
assert_equal(ab.aggregationType, 'Journal')
def test_article_number():
pass
