Movie analytics: Visualization of the co-starring network

This poster contributes a novel application of social network visualization techniques to the motion picture industry. We make the case and illustrate with examples that a visualization approach based on k-cores helps alleviate otherwise inextricable memory issues in analyses of the IMDb co-starring network, which contains more than 2.6 million actors displaying over a billion links, with degrees which can rise to about 50,000 and above for the most connected actors.