Density decompositions of networks
DOI:
https://doi.org/10.7155/jgaa.00505Keywords:
graph partitioning , density , densest subgraph , graph modelsAbstract
We introduce a new topological descriptor of a graph called the density decomposition which is a partition of the vertices of a graph into regions of uniform density. The decomposition we define is unique in the sense that a given graph has exactly one density decomposition. The number of vertices in each partition defines a density distribution which we find is measurably similar to the degree distribution of given real-world networks (social, internet, etc.) and measurably dissimilar in synthetic networks (preferential attachment, small world, etc.). We also show how to build networks having given density distributions, which gives us further insight into the structure of real-world networks.Downloads
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Published
2019-09-01
How to Cite
Borradaile, G., Migler, T., & Wilfong, G. (2019). Density decompositions of networks. Journal of Graph Algorithms and Applications, 23(4), 625–651. https://doi.org/10.7155/jgaa.00505
License
Copyright (c) 2019 Glencora Borradaile, Theresa Migler, Gordon Wilfong
This work is licensed under a Creative Commons Attribution 4.0 International License.