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London, England
July 16, 2003 to July 18, 2003
ISBN: 0-7695-1988-1
pp: 576
Chaomei Chen , Drexel University
Natasha Lobo , Drexel University
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.
INDEX TERMS
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CITATION
Chaomei Chen, Natasha Lobo, "Semantically Modified Diffusion Limited Aggregation for Visualizing Large-Scale Networks", IV, 2003, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2003, pp. 576, doi:10.1109/IV.2003.1218043
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