{'fraction_non_alphanumeric': 0.022151898734177215, 'fraction_numerical': 0.0, 'mean_word_length': 5.267326732673268, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Network Analysis of the ACL Anthology

Using the ACL Anthology we build and analyze three different networks composed of paper citations, author citations, and author collaborations in an attempt to identify the most “central” papers and authors, as well as other interesting characteristics, using graph-based and other methods. Citation data was obtained using text extraction from the library of PDF files with some post-processing performed to clean up the results. Manual annotation of the references was then performed to complete the citation network. The analysis includes general network statistics, PageRank and h-index.