When we read a text, we normally follow it in quite a linear fashion: from left to right, from top to bottom. Even when we skim articles quickly online, the trajectory is still the same. However, this is not the most efficient method of reading: in the age of hypertext we tend to create our own narratives using the bits and pieces from different sources.
As a response to this challenge we at Nodus Labs developed a new free online software tool Textexture.Com, which visualizes any text as a network and enables the user to use this interactive visualization to read through the text in a non-linear fashion.
Recommender systems are the basic building blocks of most online businesses today. They influence the news we read, the posts we see, the things we buy, the music we listen to. Based on the dataset of what is known about us, recommender system finds something we might be interested in. Technically recommender system is a combination of learning algorithms, statistical tools, and recognition algorithms – the areas commonly ascribed to the study of artificial intelligence.
We decided to study this emergent form of consciousness and conduct an attempt to communicate with a recommender system through the interview format. The results are presented in this report.
Back in 2007 we started working on ThisIsLike.Com – an online tool to collect, retain, and share knowledge using network visualizations. One of the main challenges was to create the interface that would be easy to use and we are still working on that. A few days ago Friends of the Web announced their new product called Wikiweb App, which seems like a really well-done implementation of network interface for navigating Wikipedia data. We purchased the app and here are some first impressions.
Polysingularity is a condition where multiple solutions are possible and yet only some are actualized at any moment of time. It’s a study of how affordances (or environmental opportunities) come into contact with the human capacity to believe and make choices. Polysingularity is best described through the framework of networks where the node’s current state and future condition is dynamically determined by its specificity as well as the multiplicities it belongs to.