Title :
Demonstrating Interactive Multi-resolution Large Graph Exploration
Author :
Zhiyuan Lin ; Nan Cao ; Hanghang Tong ; Fei Wang ; Kang, U. ; Duen Horng Chau
Author_Institution :
Coll. of Comput., Georgia Tech, Atlanta, GA, USA
Abstract :
We present a scalable, interactive graph visualization system to support multi-resolution exploration of million-node graphs in real time. By adapting a state-of-the-art graph algorithm, called Slash & Burn, our prototype system generates a multi-resolution view of graphs with up to 69 million edges under a few seconds. We are experimenting with interaction techniques that help users interactively explore this overview and drill down into details. While many visualization systems for million-node graphs require dedicated servers to process the graphs, our prototype runs on a commodity laptop computer. We aim to handle graphs that are at least an order of magnitude (100M edges) larger than what current systems can support. We demonstrate our system´s usage, benefits, and scalability using two large graphs: a Live Journal friendship network with 69 million edges, and a related-movies network from Rotten Tomatoes with 200K edges.
Keywords :
data visualisation; graph theory; interactive systems; LiveJournal friendship network; Rotten Tomatoes; commodity laptop computer; graph handling; interaction techniques; interactive graph visualization system; interactive multiresolution large graph exploration; multiresolution million-node graphs exploration; related-movies network; slash-&-burn graph algorithm; Computers; Conferences; Data mining; Motion pictures; Prototypes; Real-time systems; Visualization; graph decomposition; hubs and spokes; interactive graph visualization; multi-resolution;
Conference_Titel :
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4799-3143-9
DOI :
10.1109/ICDMW.2013.124