Induced subgraphs in sparse random graphs with given degree sequence
Pu Gao, Yi Su, Nicholas Wormald

TL;DR
This paper calculates the probability of specific induced subgraphs within sparse random graphs with a fixed degree sequence, extending results to broader graph models.
Contribution
It provides explicit probability formulas for induced subgraphs in sparse random graphs with given degree sequences, generalizing previous models.
Findings
Probability formulas for induced subgraphs in sparse graphs
Extension to graphs with specified degree sequences
Applicable for degree bounds up to o(n^{1/3})
Abstract
For any , we compute the probability that the subgraph of induced by is a given graph on the vertex set . The result holds for any and is further extended to , the probability space of random graphs with a given degree sequence .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLimits and Structures in Graph Theory · Graph theory and applications · Advanced Graph Theory Research
