Visualizing Information Spreading through Instagram #Hashtags
Social media is currently the most efficient channel to spread a news or organize a campaign. Although we know that hashtag is now very popular around the world, but we don’t know how such popular hashtag topics growing from a single original poster in a small region and finally with thousands or millions of responses spreading throughout the world.
In this project we are focusing on visualization of the spreading of popular Instagrams based on specific hashtag by using D3.
- Fork it ( [https://github.com/cdeng/HashtagTrends/fork] (https://github.com/cdeng/HashtagTrends/fork) )
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create a new Pull Request
Code released under the MIT license.