Tag Archives: networks

Truthy elections analytics tool

Science News cover

Truthy elections diffusion network

Research by our Truthy team was recently featured in New Scientist, USA Today, and the cover story of Science News. The Truthy project, developed by CNetS researchers and doctoral students, aims to study the factors affecting the spread of information — and misinformation — in social media.

The Truthy site charts tweet sentiment and volume related to themes such as social movements and news. It also monitors Twitter  activity to build interactive networks that let visitors visualize the diffusion networks of memes, identify the most influential information spreaders, and explore those influential  feeds and other information about their online activity, such as sentiment and language. Other tools let you map the geo-temporal diffusion of memes, generate YouTube movies that display how hashtags emerge and connect, and download data directly from Twitter. With these analytics, one can begin to ask question such as: How does sentiment change in response to events and memes? What memes survive over time? Who are the most influential users on a particular topic?

For more press coverage go to the Truthy press page.

Folks in Folksonomies at WSDM 2010

Fil will present the paper Folks in folksonomies: Social link prediction from shared metadata (authored with Rossano Schifanella, Alain Barrat, Ciro Cattuto, and Ben Markines) at WSDM 2010 in New York on February 5. The paper discusses homophily, or more specifically the relationship between social connections and social tagging in folksonomies. We show that social similarity measures based on annotations can be effective predictors of friendship relationships. For the occasion, we are making our Last.fm dataset publicly available.