def findAllCitations(self):
ref_processor = PaperReferenceExtractor()
ref_content = ref_processor.getReferencesContent(self.__pdfObj)
if (self.getInfo()['Publisher'] == 'Springer US'):
parser = SpringerReferenceParser()
elif (self.getInfo()['Publisher'] == 'IEEE'):
parser = IeeeReferenceParser()
else:
raise Exception('Publisher not recognized; no citation parser for this format')
citation_list = parser.citeParse(ref_content)
for idx, citation in enumerate(citation_list):
citation = Citation(citation)
citation_list[idx] = citation
return citation_list
def findAllCitations(self):
ref_processor = PaperReferenceExtractor()
ref_content = ref_processor.getReferencesContent(self.__pdfObj)
if (self.getInfo()['Publisher'] == 'Springer US'):
parser = SpringerReferenceParser()
elif (self.getInfo()['Publisher'] == 'IEEE'):
parser = IeeeReferenceParser()
else:
raise Exception(
'Publisher not recognized; no citation parser for this format')
citation_list = parser.citeParse(ref_content)
for idx, citation in enumerate(citation_list):
citation = Citation(citation)
citation_list[idx] = citation
return citation_list
def count_cross_cites (author, x_most_rel, top_x, y_most_rel):
author.loadPapers(x_most_rel, pubFilter=True, delay=True)
paper_list = author.getPapers()
x_most_rel = len(paper_list)
ORIG_FNAME = author.getFirstName()
ORIG_LNAME = author.getLastName()
print("Total number of valid GSC papers: " + str(len(paper_list)))
citation_list = []
springer_bot = SpringerReferenceParser()
ieee_bot = IeeeReferenceParser()
# gets all the citations from all the papers in the list
print('STAGE 1 GETTING CITATIONS')
print("-----------------------------------------------------------")
for paper in paper_list:
pub = paper.getInfo()['Publisher']
pdf_paper = paper.getPdfObj()
print('Paper title: ' + str(paper.getInfo()['Title']))
if (pdf_paper is None):
print('paper object is none')
continue
extractor = PaperReferenceExtractor()
ref_content = extractor.getReferencesContent(pdf_paper)
if (ref_content is None):
continue
try:
if (pub == 'IEEE'):
citations = ieee_bot.citeParse(ref_content)
elif (pub == 'Springer US'):
citations = springer_bot.citeParse(ref_content)
else:
print('Invalid publication format from: ' + pub)
continue
except Exception as e:
print('An exception occured with parsing citations: ' + str(e))
citation_list += citations
print("STAGE 1 COMPLETE -----------------------------------------------------------")
print('From the valid top ' + str(top_x) +' papers, all the citations found: ' + str(citation_list))
author_dist = {}
#goes through each citation and takes out authors and paper names and puts it in the valid frequency dictionary
# end results: {'author': {'freq': int frequency original author cites him, 'paper': [array of paper titles in which the cited author is cited]},
print('STAGE 2 AGGREGATING CITATION COUNTS BY AUTHOR ------------------------------------')
for citation in citation_list:
title = citation['title']
for cited_author in citation['authors']:
if cited_author in author_dist:
author_dist[cited_author]['freq'] += 1
if title not in author_dist[cited_author]['papers']:
author_dist[cited_author]['papers'].append(title)
else:
author_dist[cited_author] = {}
author_dist[cited_author]['freq'] = 1
author_dist[cited_author]['papers'] = [title]
#sorts the dictionary - now an array of tuples that are sorted by frequency
#author_dist should be in the form [('author', {'freq': 5, 'papers':[]}), ...]
author_dist = list(reversed(sorted(author_dist.items(), key=lambda x: x[1]['freq'])))
print('STAGE 2 COMPLETE -----------------------------------------------------------------')
print('sorted author list in tuples:')
print(author_dist)
count_cross_cites_stage3(author, author_dist, x_most_rel, top_x, y_most_rel)
def count_cross_cites(author, x_most_rel, top_x, y_most_rel):
author.loadPapers(x_most_rel, pubFilter=True, delay=True)
paper_list = author.getPapers()
x_most_rel = len(paper_list)
ORIG_FNAME = author.getFirstName()
ORIG_LNAME = author.getLastName()
print("Total number of valid GSC papers: " + str(len(paper_list)))
citation_list = []
springer_bot = SpringerReferenceParser()
ieee_bot = IeeeReferenceParser()
# gets all the citations from all the papers in the list
print('STAGE 1 GETTING CITATIONS')
print("-----------------------------------------------------------")
for paper in paper_list:
pub = paper.getInfo()['Publisher']
pdf_paper = paper.getPdfObj()
print('Paper title: ' + str(paper.getInfo()['Title']))
if (pdf_paper is None):
print('paper object is none')
continue
extractor = PaperReferenceExtractor()
ref_content = extractor.getReferencesContent(pdf_paper)
if (ref_content is None):
continue
try:
if (pub == 'IEEE'):
citations = ieee_bot.citeParse(ref_content)
elif (pub == 'Springer US'):
citations = springer_bot.citeParse(ref_content)
else:
print('Invalid publication format from: ' + pub)
continue
except Exception as e:
print('An exception occured with parsing citations: ' + str(e))
citation_list += citations
print(
"STAGE 1 COMPLETE -----------------------------------------------------------"
)
print('From the valid top ' + str(top_x) +
' papers, all the citations found: ' + str(citation_list))
author_dist = {}
#goes through each citation and takes out authors and paper names and puts it in the valid frequency dictionary
# end results: {'author': {'freq': int frequency original author cites him, 'paper': [array of paper titles in which the cited author is cited]},
print(
'STAGE 2 AGGREGATING CITATION COUNTS BY AUTHOR ------------------------------------'
)
for citation in citation_list:
title = citation['title']
for cited_author in citation['authors']:
if cited_author in author_dist:
author_dist[cited_author]['freq'] += 1
if title not in author_dist[cited_author]['papers']:
author_dist[cited_author]['papers'].append(title)
else:
author_dist[cited_author] = {}
author_dist[cited_author]['freq'] = 1
author_dist[cited_author]['papers'] = [title]
#sorts the dictionary - now an array of tuples that are sorted by frequency
#author_dist should be in the form [('author', {'freq': 5, 'papers':[]}), ...]
author_dist = list(
reversed(sorted(author_dist.items(), key=lambda x: x[1]['freq'])))
print(
'STAGE 2 COMPLETE -----------------------------------------------------------------'
)
print('sorted author list in tuples:')
print(author_dist)
count_cross_cites_stage3(author, author_dist, x_most_rel, top_x,
y_most_rel)
