The bivariate distribution of degrees of adjacent vertices (degree-degree
distribution) is an important network characteristic defining the statistical
dependencies between degrees of adjacent vertices. We show the asymptotic
degree-degree distribution of a sparse inhomogeneous random intersection graph
and discuss its relation to the clustering and power law properties of the
graph.
%0 Book Section
%1 Bloznelis2014DegreeDegree
%A Bloznelis, Mindaugas
%C Cham
%D 2014
%E Gleich, David F.
%E Komjáthy, Júlia
%E Litvak, Nelly
%I Springer International Publishing
%K clustering scale-free-networks correlations
%P 42--53
%R 10.1007/978-3-319-26784-5\_4
%T Degree-Degree Distribution in a Power Law Random Intersection Graph with Clustering
%U http://dx.doi.org/10.1007/978-3-319-26784-5\_4
%V 9479
%X The bivariate distribution of degrees of adjacent vertices (degree-degree
distribution) is an important network characteristic defining the statistical
dependencies between degrees of adjacent vertices. We show the asymptotic
degree-degree distribution of a sparse inhomogeneous random intersection graph
and discuss its relation to the clustering and power law properties of the
graph.
%& 4
%@ 978-3-319-26783-8
@inbook{Bloznelis2014DegreeDegree,
abstract = {{The bivariate distribution of degrees of adjacent vertices (degree-degree
distribution) is an important network characteristic defining the statistical
dependencies between degrees of adjacent vertices. We show the asymptotic
degree-degree distribution of a sparse inhomogeneous random intersection graph
and discuss its relation to the clustering and power law properties of the
graph.}},
added-at = {2019-06-10T14:53:09.000+0200},
address = {Cham},
archiveprefix = {arXiv},
author = {Bloznelis, Mindaugas},
biburl = {https://www.bibsonomy.org/bibtex/26f1d8d243ed99bfc74b76c4fe044bfb8/nonancourt},
chapter = 4,
citeulike-article-id = {13444947},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-319-26784-5\_4},
citeulike-linkout-1 = {http://arxiv.org/abs/1411.6247},
citeulike-linkout-2 = {http://arxiv.org/pdf/1411.6247},
day = 23,
doi = {10.1007/978-3-319-26784-5\_4},
editor = {Gleich, David F. and Komj\'{a}thy, J\'{u}lia and Litvak, Nelly},
eprint = {1411.6247},
interhash = {5d0acad4b5140174db6de3d64e144d2d},
intrahash = {6f1d8d243ed99bfc74b76c4fe044bfb8},
isbn = {978-3-319-26783-8},
issn = {1611-3349},
keywords = {clustering scale-free-networks correlations},
month = nov,
pages = {42--53},
posted-at = {2014-11-25 11:59:26},
priority = {2},
publisher = {Springer International Publishing},
timestamp = {2019-08-01T16:14:30.000+0200},
title = {{Degree-Degree Distribution in a Power Law Random Intersection Graph with Clustering}},
url = {http://dx.doi.org/10.1007/978-3-319-26784-5\_4},
volume = 9479,
year = 2014
}