Paper Info
Title
Network Layout Visualization Based on Sammon's Projection
Abstract
Visualization is an important part of Network Analysis. It helps to find features of the network that are not easily identifiable. In this paper we present our approach to the visualization of weighted networks based on Sammon's projection. The network may be seen as a set of data points in the space induced by the incidence relation or as a symmetric matrix of vertex distances. We propose several methods for construction of the input for the Sammon's projection and discuss the effect of the particular methods on the final layout. Results are illustrated using several networks in the 2D layout. Presented experiments use the well-known Karate club network and weighted co-authors network based on the DBLP database.
Year
DOI
Venue
2013
10.1109/INCoS.2013.43
INCoS
Keywords
Field
DocType
final layout,weighted network,network analysis,network layout visualization,data point,well-known karate club network,presented experiment,incidence relation,dblp database,important part,weighted co-authors network,data visualisation
Data point,Sammon mapping,Data mining,Data visualization,Social network,Vertex (geometry),Visualization,Computer science,Symmetric matrix,Theoretical computer science,Network analysis,Distributed computing
Conference
Citations 
PageRank 
References 
3
0.75
6
Authors
4
Name
Order
Citations
PageRank
Martin Radvanský1115.67
Miloš Kudelka2102.59
Zdenek Horák3283.48
Václav Snášel43710.63