This is the talk from the CHI 2012 Long Case Study called "Nokia Internet Pulse: A Long Term Deployment and Iteration of a Twitter Visualization".
Abstract
Nokia Internet Pulse is a system for visualizing current discussion around a particular topic on Twitter. It consists of a time-series of stacked tag clouds consisting of the (interesting) words in tweets that match a topic. Words are sized proportional to frequency and colored according to the emotional content of the tweet: if several people tweet “I love my Nokia N900”, then “N900” will show up colored bright green, because it’s in the same tweet as the word “love”, which the system recognizes as positive. In addition to showing topics of corporate interest (“Nokia”, “N9”, etc.), the system is also useful for understanding buzz around individuals (“Rihanna”), conferences (“#chi2012”), topics (“rumor OR rumors”), Twitter-specific phenomena (“RT”) and more. Clicking on words shows a list of tweets that contain those words, allowing easy drill-down to view individual tweets. It is available at http://nip.nokia.com/
Nokia Internet Pulse: A Long Term Deployment and Iteration of a Twitter Visualization
1. Joseph „Jofish‟ Kaye, Nokia
Research
Anita Lillie, LinkedIn
Deepak Jagdish, Nokia Research
James Walkup, Nokia
Rita Parada, Nokia Design
Koichi Mori, Nokia Research