A Simple Model of Knowledge Percolation
@inproceedings{Bagnoli2022ASM, title={A Simple Model of Knowledge Percolation}, author={Franco Bagnoli and Guido de Bonfioli Cavalcabo'}, booktitle={International Conference on Cellular Automata for Research and Industry}, year={2022} }
We investigate how knowledge percolates and clusters in a given knowledge space. We introduce a simple model of knowledge organization in which each contribution spans a certain number of items. If this contribution overlaps with others above a certain threshold, they form a cluster. A contribution can also merge clusters together. We study the growth of global knowledge and the cluster dynamics, both showing a nontrivial behavior.
References
SHOWING 1-10 OF 15 REFERENCES
Recent Advances of Percolation Theory in Complex Networks
- PhysicsJournal of the Korean Physical Society
- 2018
A very brief review of percolation theory recently developed, which includes those types of phase transitions, critical phenomena, and finite-size scaling theory, is presented.
Large-scale structure of time evolving citation networks
- Computer Science
- 2007
This paper describes three different methods of analysis for probing and understanding the large-scale structure of networks that evolve over time, in particular on citation networks, networks of references between documents such as papers, patents, or court cases.
Network science: Luck or reason
- Computer ScienceNature
- 2012
This study shows that popularity is a strong force in shaping complex network structure and dynamics, but so too is similarity, and develops a model that increases the accuracy of network-evolution predictions by considering the trade-offs between popularity and similarity.
Percolation Theory
- Physics
- 2015
Aim The aim of the percolation theory course is to provide a challenging and stimulating introduction to a selection of topics within modern theoretical condensed matter physics. Percolation theory…
Introduction To Percolation Theory
- Physics
- 1985
Preface to the Second Edition Preface to the First Edition Introduction: Forest Fires, Fractal Oil Fields, and Diffusion What is percolation? Forest fires Oil fields and fractals Diffusion in…
The Evolution of Inventor Networks in the silicon Valley and Boston Regions
- EconomicsAdv. Complex Syst.
- 2007
Analysis of all patenting inventors in the U.S. from 1975 to 2002 and interviews with key network players suggest that contingent labor mobility between established firms in Silicon Valley promoted inter-organizational networking, leading to larger inventor networks.
Anatomy of a young giant component in the random graph
- Computer ScienceRandom Struct. Algorithms
- 2011
The asymptotics of the diameter of the giant component for any rate of decay of ε, as well as the mixing time of the random walk on the Erdős‐Rényi random graph are inferred.