Wow, already at Part III. I already covered why one would want to find influential people in a social network in Part I. I discussed what the data I am analyzing is and how it was collected from twitter in Part II. …

Finding the Influentials: Part 3 - How do you Influence? Read more »

Having given an overview of why we would want to find influential people on Twitter or a social network in Part I, now we move on to more data on the Intersexions dataset. Mainly: What the data is and how …

Finding the influentials: Part 2 - The Twitter Beast Read more »

During my cooling off period after submitting a paper, I thought it might be a good idea to finally put  up one of the projects I worked on while at Rutgers. I did this project while I was taking a graduate …

Finding the influentials: Part 1 - Finding Ashton Read more »

Prof Mamokgethi Setati (Vice-Principal: Research and Innovation) and Vukosi Marivate (PhD candidate and Fulbright Science and Technology Award Fellow at Rutgers University, USA) at the first Innovation in action seminar series.

Originally appeared on Unisa Online, Evernote Mirror Innovation is not the sole domain of research – it is found in all aspects of life. This premise informed Unisa’s first Innovation in action seminar series, hosted by the Research and Innovation …

Unisa Talk - Identifying innovators and solutions that work [2012] Read more »

Whats in a word? A lot. Below is a word cloud I created with Tagxedo in the shape of the African Continent. The word cloud was created from 30000 Tweets collected about the show Intersexions. The Tweets were collected from …

Intersexions and Twitter Read more »