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.
Description
IEEE Xplore - Visualisation and analysis of the internet movie database
%0 Conference Paper
%1 ahmed2007visualisation
%A Ahmed, Adel
%A Batagelj, Vladimir
%A Fu, Xiaoyan
%A Hong, Seok-Hee
%A Merrick, Damian
%A Mrvar, Andrej
%B Visualization, 2007. APVIS '07. 2007 6th International Asia-Pacific Symposium on
%D 2007
%K analysis core imdb
%P 17 -24
%R 10.1109/APVIS.2007.329304
%T Visualisation and analysis of the internet movie database
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4126213&tag=1
%X 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.
@inproceedings{ahmed2007visualisation,
abstract = {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.},
added-at = {2012-10-04T16:30:19.000+0200},
author = {Ahmed, Adel and Batagelj, Vladimir and Fu, Xiaoyan and Hong, Seok-Hee and Merrick, Damian and Mrvar, Andrej},
biburl = {https://www.bibsonomy.org/bibtex/24ce8ac41630e50a8447bd969ec1219da/sdo},
booktitle = {Visualization, 2007. APVIS '07. 2007 6th International Asia-Pacific Symposium on},
description = {IEEE Xplore - Visualisation and analysis of the internet movie database},
doi = {10.1109/APVIS.2007.329304},
interhash = {98c887b94e1826332d7739e3af78265e},
intrahash = {4ce8ac41630e50a8447bd969ec1219da},
keywords = {analysis core imdb},
month = {feb.},
pages = {17 -24},
timestamp = {2014-01-17T14:55:17.000+0100},
title = {Visualisation and analysis of the internet movie database},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4126213&tag=1},
year = 2007
}