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Data_Analysis.ipynb
README.md
aftermath_coauthorship_g.gexf
aftermath_coauthorship_g.png
article_changes.png
article_language_links.png
article_language_mapper.json
coauthorship_g_gt1.gexf
coauthorship_g_gt1.png
cosine_similarity.png
cumulative_pageviews.png
editor_overlap.png
en_19_activity.png
en_lang_link_exists.png
highest_activity_ranking.png
info_conduced.png
max_pageviews.png
pageviews.csv
pageviews.png
pageviews_dec.csv
peak_fraction.png
pv_vs_revision.png
revisions.csv
revisions.png
revisions_2014.csv
sum_lang_link.png
top100_coverage.png
translater_dict.json
wikipedia_scraping.py

README.md

2014-On-Wikipedia

Access the notebook here

A comparative analysis of how Wikipedia covered major news events in 2014. Read the blog post here.

Edits to articles about these news events show very bursty patterns. Number of revisions made to articles

But these bursts in attention and revisions appear to be tightly correlated. Pageviews versus revisions

In addition to comparing the evolution of these articles, the analysis also looks at the structure of users' contributions to articles. Network visualization of coauthorship relations