Literature DB >> 30930480

On Edge Exchangeable Random Graphs.

Svante Janson1.   

Abstract

We study a recent model for edge exchangeable random graphs introduced by Crane and Dempsey; in particular we study asymptotic properties of the random simple graph obtained by merging multiple edges. We study a number of examples, and show that the model can produce dense, sparse and extremely sparse random graphs. One example yields a power-law degree distribution. We give some examples where the random graph is dense and converges a.s. in the sense of graph limit theory, but also an example where a.s. every graph limit is the limit of some subsequence. Another example is sparse and yields convergence to a non-integrable generalized graphon defined on ( 0 , ∞ ) .

Entities:  

Keywords:  Dense and sparse graph limits; Edge exchangeable random graphs; Graphons

Year:  2017        PMID: 30930480      PMCID: PMC6405020          DOI: 10.1007/s10955-017-1832-9

Source DB:  PubMed          Journal:  J Stat Phys        ISSN: 0022-4715            Impact factor:   1.548


  3 in total

1.  Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures.

Authors:  Peter Orbanz; Daniel M Roy
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2015-02       Impact factor: 6.226

2.  EDGE EXCHANGEABLE MODELS FOR INTERACTION NETWORKS.

Authors:  Harry Crane; Walter Dempsey
Journal:  J Am Stat Assoc       Date:  2018-06-12       Impact factor: 5.033

3.  Sparse graphs using exchangeable random measures.

Authors:  François Caron; Emily B Fox
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2017-09-23       Impact factor: 4.488

  3 in total
  1 in total

1.  Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data.

Authors:  Alexander P Kartun-Giles; Dmitri Krioukov; James P Gleeson; Yamir Moreno; Ginestra Bianconi
Journal:  Entropy (Basel)       Date:  2018-04-07       Impact factor: 2.524

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.