Paper Info
Title
NodeTrix: Hybrid Representation for Analyzing Social Networks
Abstract
Abstract: The need to visualize large social networks is growing,as hardware capabilities make analyzing large networks feasible and many new data sets become available. Unfortunately, the visualizations in existing systems do not satisfactorily a nswer the basic dilemma,of being readable both for the global structure of the network and also for detailed analysis of local communities. To address this problem, we present NodeTrix, a hybrid representation for networks that combines the advantages of two traditional representations: node-l ink diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities. A key contribution is a set of interaction techniques. These allow analysts to create a NodeTrix visualization by dragging selections from either a nodelink or a matrix, flexibly manipulate the NodeTrix represent ation to explore the dataset, and create meaningful summary visualizations of their findings. Final ly, we present a case study applying NodeTrix to the analysis of the InfoVis 2004 coauthorship dataset to illustrate the capabilities of NodeTrix as both an exploration tool and an effective means of communicating,results. Key-words: Graph visualization, Social networks, Matrix visualizati on, Hybrid visualization, Ag-
Year
Venue
Keywords
2007
Clinical Orthopaedics and Related Research
human computer interaction,interaction,graph visualization,social network,interaction technique,aggregation,social networks
Field
DocType
Volume
Adjacency matrix,Graph drawing,Data mining,Large networks,Data set,Social network,Matrix (mathematics),Computer science,Visualization,Human–computer interaction,Dilemma
Journal
abs/0705.0
Citations 
PageRank 
References 
8
0.49
22
Authors
3
Name
Order
Citations
PageRank
Nathalie Henry1893.87
Jean-Daniel Fekete23572175.41
Michael J. McGuffin398954.52