Reading suggestions Twitter ML. I thought for a bit and I've settled on exploring twitter and data mining/machine learning for my master's project.
Once I started looking around I was surprised at the sheer volume of academic papers related to twitter. There are quite a few. Folks have written about all sorts of interesting bits of information that can be teased from twitter streams. I even saw a paper suggesting doing away with political polling and replacing that with twitter analysis.
How I Reverse Engineered Klout Score to an ~ R2 = 0.94 (How to calculate Klout score) Disclaimer: This my personal blog and the opinions presented here are my own.
I founded SEMJ.org, write for Semanticweb.com, and I am the president of Future Farm Inc. The opinions expressed here are not the opinions of the companies I currently represent. (437) What is the difference between PeopleRank and the "reputation graph" (437) Quora PeopleRank: What are some existing "PeopleRank" algorithms. Traackr Relaunches Tool in Competitive Market to Reach Influencers. Mary Lisbeth D'Amico | March 5, 2013 | 1 Comment inShare16 Traackr launched a revamped version of its platform, a move to make its tools more user-friendly in the increasingly competitive market for helping brands identify key influencers.
San-Francisco-based Traackr this week launched a revamped version of its platform, a move to make its tools more user-friendly in the increasingly competitive market for helping brands identify key influencers. The revamped Traackr lets users identify, research, and engage with influencers - those who have a reputation as thought leaders in a company's target markets - without leaving the Traackr website, the company said. Features include a new interface that integrates more smoothly into a marketer's workflow, built-in social media integration - so users can interact with influencers directly via the platform on Twitter, for example - and instant search, which allows companies to quickly put together lists of influencers.