A simple model of knowledge percolation
Franco Bagnoli, Guido de Bonfioli Cavalcabo'
TL;DR
This paper presents a simple model for understanding how knowledge spreads and clusters in a knowledge space, revealing complex behaviors in the growth and merging of knowledge clusters.
Contribution
It introduces a novel, minimal model of knowledge percolation that captures cluster formation and merging dynamics in a structured knowledge space.
Findings
Knowledge clusters form and grow nontrivially over time.
Cluster merging leads to complex global knowledge dynamics.
The model reveals phase transitions in knowledge percolation.
Abstract
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.
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Taxonomy
TopicsComplex Systems and Time Series Analysis