At any one time, there are events trending on Twitter, with people acting as “sensor networks” by sharing near-field information. Maltego Carbon 3.5.3 has a new feature, the Tweet Analyzer, which enables the capture of content (and ego) networks based around “seed” keywords, key phrases, and #hashtags.
Come experience the Tweet Analyzer live. A demo will take place 1-2 p.m. Friday, Jan. 23, in 301 Hale Library. All are welcome. No prior experience is necessary.
This feature includes built-in sentiment analysis (positive, negative, and neutral) and spatial graph layout that disambiguates clusters of topics around the seed term. Maltego Carbon builds on the Twitter API and requires user authentication into Twitter to access the information.
Conducting Surface-Web Based Research with Maltego Carbon is a free online resource about the use of this tool for research. This book includes a Q&A with a principal at Paterva. There is a limited open-source “community edition” of Maltego.
Email shalin@k-state.edu if you have any questions.
