Visualisation and analysis of the internet movie database

In this paper, we present a case study for the visualisation and analysis of large and complex temporal multivariate networks derived from the Internet Movie DataBase (IMDB). Our approach is to integrate network analysis methods with visualisation in order to address scalability and complexity issues. In particular, we defined new analysis methods such as (p,q)-core and 4-ring to identify important dense subgraphs and short cycles from the huge bipartite graphs. We applied island analysis for a specific time slice in order to identify important and meaningful subgraphs. Further, a temporal Kevin Bacon graph and a temporal two mode network are extracted in order to provide insight and knowledge on the evolution.

• Type: Conference
• Year: 2007
• Where: APVIS
• Authors: Adel Ahmed, Vladimir Batagelj, Xiaoyan Fu, Seok-Hee Hong, Damian Merrick, Andrej Mrvar
• Keywords: Analysis Methods, APVIS 2007, Important Dense Subgraphs, Information Technology, Temporal Multivariate Networks