Networks, fractals and complexity: web-based information patterns
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.
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Complexity theories can be used to simplify; structure can be recognized as abstract properties of the dynamics of a complex web of recursive informational connections, despite having only very partial information.
“In an apparent paradox, complexity theories can be used to simplify. Structure can be recognized as abstract properties of the dynamics of a complex web of recursive informational connections, despite having only very partial information (Alaba 2009).”
From Religion as a Complex and Dynamic System (2013) · cites this paper as Alaba 2009
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Religion as a Complex and Dynamic System
Cho, F., & Squier, R. K. (2013) · Journal of the American Academy of Religion · doi:10.1093/jaarel/lft016 · Cited by 24 · see citing works
- Authors
- Alaba, O.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Alaba, Oluseyi
- Venue
- Proceedings of the International Conference on Management of Emergent Digital EcoSystems
- Publisher
- ACM
- Published
- 2009-10-27
- Pages
- 16-20
- OpenAlex
- W2163083174
- Cited by
- 1
- References
- 0
- Citations by year
- 2013: 1
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Management of Emergent Digital EcoSystems (MEDES) (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Keywords
- World Wide Web, complex networks, fractals, information flow, small-world networks, scale-free networks, self-organization, dynamical systems, network structure, information patterns
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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