Using diffusion characters for the taxonomy of self- organizing social networks

Authors:
Daniel Ashlock;Colin Lee
Affiliations:
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada;Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada
Venue:
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
Year:
2009

Citing 3
Cited 0

The link-prediction problem for social networks

Journal of the American Society for Information Science and Technology
Understanding representational sensitivity in the iterated prisoner's dilemma with fingerprints

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fingerprinting: Visualization and Automatic Analysis of Prisoner's Dilemma Strategies

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This study evolves agents to play iterated prisoners dilemma with choice and refusal. The choice and refusal mechanism causes the agents to self-organize social networks. We then apply a novel technique for inducing a pseudometric on the space of networks using diffusion characters to analyze the resulting social networks, and create an exploratory taxonomy of the social networks. The taxonomy agrees well with features visible in rendered drawing of the networks as well as with similarities in the fitness trajectories of the populations that give rise to those networks.