We now offer high quality large-format prints of network visualizations created using a combination of our own software (Textexture), open-source Gephi platform, iterative algorithms, fuzzy logic, trial and error, as well as intuition, magic, science, and experiment.
It is possible to order prints of the already existing text network visualizations or to create custom-made prints using your own source data (any text, social network, or any other connectivity that can be represented as a network).
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.
We can demonstrate the strategies for maintaining sustainable and vibrant communities, create successful communication campaigns, and show you how the framework of network analysis can be applied in social situations.