FEUP_ARSI

Project accomplished during the Social Networks and Information Analysis class.

Exploration of an Youtube Trending Dataset linking videos with the same tag.

This content follows the book 'Networks, Crowds, and Markets: Reasoning About a Highly Connected World', David Easley and Jon Kleinberg.

Youtube Trending Videos Dataset

Top dayly Youtube Videos from United States, Great britain, and Canada collected between November 2017 and May 2018. (https://www.kaggle.com/datasnaek/youtube-new)

The Statistics

video_id, trending_date, title, channel_title, category_id, publish_time, tags, views, likes, dislikes, comment_count, thumbnail_link, comments_disabled, ratings_disabled, video_error_or_removed, description

Run:

cd Notebooks
jupyter notebook

Folders

OriginalCSV's : directory that contains the original CSV's downloaded from kaggle
Created CSV's : directory with new csv's created so that it can be imported at gephi
Visualization Data : directory that contains a collection of images generated at gephi
GephiFiles : files to be imported at gephi with the work developed during this semester
Notebooks : files with data analysis and csv creation
Notebooks-html : HTML version of notebooks in case of not having the Jupyter or Anaconda software installed.

Some Inspiration

https://www.kaggle.com/ankkur13/sentiment-analysis-nlp-wordcloud-textblob/notebook

https://www.kaggle.com/donyoe/exploring-youtube-trending-statistics-eda

https://www.kaggle.com/quannguyen135/what-is-trending-on-youtube-eda-with-python