Networks, fractals and complexity: web-based information patterns

Authors:
Oluseyi Alaba
Affiliations:
University of North Carolina at Chapel Hill, Chapel Hill, NC
Venue:
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Year:
2009

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Abstract

This paper outlines a theoretical framework for understanding and mapping the movement of information on a dynamic information system like the Web. The Web exhibits properties that identify it as a complex network. Incorporating the small-world, scale-free, self-organizing properties of the Web, this theoretical model explores the Web as a dynamical and evolving system using complexity and fractal theories to explain the underlying structure of the Web. Complexity and fractal theories offer tools by which to evaluate and measure information patterns on a self-similar, complex network.