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.
|Title of host publication||Proceedings - 7th International Conference on Information Visualization|
|Subtitle of host publication||An International Conference on Computer Visualization and Graphics Applications, IV 2003|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2003|
|Event||7th International Conference on Information Visualization, IV 2003 - London, United Kingdom|
Duration: 2003 Jul 16 → 2003 Jul 18
|Name||Proceedings of the International Conference on Information Visualisation|
|Other||7th International Conference on Information Visualization, IV 2003|
|Period||03/7/16 → 03/7/18|
Bibliographical notePublisher Copyright:
© 2003 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition