The Global Twitter Heartbeat -- #tweetbeat

Webinar
Behind the Scenes of the
Global Twitter Heartbeat Project


Register now to watch SGI and Kalev Leetaru discuss this exciting project and how it all came together on the new SGI UV 2.

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Videos  |  Heat Maps  |  Graphs & Charts

Introduction

SGI's Big Brain Computer Powers the Global Twitter Heartbeat -- #tweetbeat

SGI has partnered with Kalev H. Leetaru of the University of Illinois and Dr. Shaowen Wang of the CyberInfrastructure and Geospatial Information (CIGI) Laboratory at the University of Illinois at Urbana-Champaign to create the first ever real-time combined population, tone and geographic analysis and heat map visualization of Tweets on a SGI UV 2000, the Big Brain computer. During the Supercomputing Conference 2012, live up-to-the-moment heat maps were made available to show the sentiment on Twitter.

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Videos

Hurricane Sandy: View the Superstorm Through the Eyes of Twitter

By filtering tweets that discuss the storm, get a first hand look at how the entire country was talking about the storm as it approached, made landfall, and took its course over the U.S. eastern seaboard.
US Presidential Election 2012 on Twitter

During the U.S. Presidential Election, Twitter reported 327,452 tweets per minute as news outlets began to predict an Obama victory. President Obama's victory tweet quickly became the most-retweeted message in history, setting the record in just 22 minutes after the tweet was posted. This heat map has adjusted the color spectrum to show the intensity and location of tweets favorable to either President Barack Obama or Governor Mitt Romney over the course of Election Day, from the first polls opening to after President Obama's victory speech.
The Global Twitter Heartbeat — Analyzing real-time data on the SGI UV

Hear Kalev Leetaru discuss how he went about constructing the data analysis pipeline, ingesting, analyzing and creating the visualizations on the SGI UV 2000.
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Heat Maps of Sentiment on Twitter

Hurricane Sandy




RED represents more Negative sentiment.
BLUE represents more Positive sentiment.
Download full resolution image (ZIP)
US Presidential Election 2012




RED represents tweets about Romney.
BLUE represents tweets about Obama.
Download full resolution image (ZIP)
US Sentiment from Live Twitter Feed




RED represents more Negative sentiment.
BLUE represents more Positive sentiment.
Download full resolution image (ZIP)
Global Sentiment from Live Twitter Feed




RED represents more Negative sentiment.
BLUE represents more Positive sentiment.
Download full resolution image (ZIP)
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Graphs and Charts


Percentage of Tweets About
Hurricane Sandy by Day


During Hurricane Sandy, the project observed a huge increase amount of tweets discussing the weather event, as a percentage of overall tweets.
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Credits

Kalev Leetaru, University of Illinois : http://www.kalevleetaru.com

About CIGI

The CyberInfrastructure and Geospatial Information Laboratory (CIGI, http://www.cigi.illinois.edu) at the University of Illinois at Urbana-Champaign researches and develops cutting-edge cyberinfrastructure to advance geospatial sciences and technologies. Current research covers topics such as computationally intensive spatial analysis and modeling, CyberGIS, and cyberinfrastructure-based geospatial problem-solving environments and applications. CIGI includes a number of faculty, staff, and students from multiple institutions who have diverse disciplinary expertise such as Computational and Information Sciences, Computer Science, Environmental Science and Engineering, Geography, Hydrology, and Statistics. Dr. Shaowen Wang is CIGI founder and director.

About Gnip

Gnip is the world's largest provider of public social media data, serving customers in a range of industries from social media monitoring and business intelligence to finance and government. Gnip delivers more than 100 billion social data activities each month, providing unparalleled access to data from dozens of sources including Twitter, Tumblr, WordPress, Disqus and more. For more information, email info@gnip.com or visit http://gnip.com.

Images courtesy of Kalev Leetaru and CIGI



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