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Semantically modified diffusion limited aggregation for visualizing large-scale networks

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2 Author(s)
Chen, C. ; Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA ; Lobo, N.

Diffusion-limited aggregation (DLA) is a model of fractal growth. Computer models can simulate the fast aggregation of millions of particles. 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.

Published in:

Information Visualization, 2003. IV 2003. Proceedings. Seventh International Conference on

Date of Conference:

16-18 July 2003