Semantically modified diffusion limited aggregation for visualizing large-scale networks

Chaomei Chen, Natasha Lobo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Diffusion-Limited Aggregation (DLA) is a model of fractal growth. Computer models can simulate the fast aggregation of millions of particles. In this paper, we propose a modified version of DLA, called semantically modified DLA (SM-DLA), for visualizing large-scale networks. SM-DLA introduces similarity measures between particles so that instead of attaching to the nearest particle in the aggregation, a new particle is stochastically directed to attach to particles that are similar to it. The results of our initial experiment with a co-citation network using SM-DLA are encouraging, suggesting that the algorithm has the potential as an alternative paradigm for visualizing large-scale networks. Further studies in this direction are recommended.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Information Visualization
Subtitle of host publicationAn International Conference on Computer Visualization and Graphics Applications, IV 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages576-581
Number of pages6
ISBN (Electronic)0769519881
DOIs
Publication statusPublished - 2003
Event7th International Conference on Information Visualization, IV 2003 - London, United Kingdom
Duration: 2003 Jul 162003 Jul 18

Publication series

NameProceedings of the International Conference on Information Visualisation
Volume2003-January
ISSN (Print)1093-9547

Other

Other7th International Conference on Information Visualization, IV 2003
CountryUnited Kingdom
CityLondon
Period03/7/1603/7/18

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Semantically modified diffusion limited aggregation for visualizing large-scale networks'. Together they form a unique fingerprint.

Cite this