Model for complex networks with degree-degree correlation
S. Kim, und J. Noh. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
Zusammenfassung
We introduce a model for complex networks with positive degree-degree
correlation. In this model, one starts with $N$ nodes and then adds links successively between pairs of nodes selected in a specific way. If one selects nodes randomly among all nodes, one obtains a random network with no degree correlation. The positive correlation is generated by selecting nodes of the same degree preferentially. Structral properties of the model will be presented. We also report our numerical results on the percolation transition of the model network with the positive degree-degree correlation.
%0 Book Section
%1 statphys23_0719
%A Kim, S.W.
%A Noh, J.D.
%B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics
%C Genova, Italy
%D 2007
%E Pietronero, Luciano
%E Loreto, Vittorio
%E Zapperi, Stefano
%K complex correlation network percolation statphys23 topic-11 transition
%T Model for complex networks with degree-degree correlation
%U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=719
%X We introduce a model for complex networks with positive degree-degree
correlation. In this model, one starts with $N$ nodes and then adds links successively between pairs of nodes selected in a specific way. If one selects nodes randomly among all nodes, one obtains a random network with no degree correlation. The positive correlation is generated by selecting nodes of the same degree preferentially. Structral properties of the model will be presented. We also report our numerical results on the percolation transition of the model network with the positive degree-degree correlation.
@incollection{statphys23_0719,
abstract = {We introduce a model for complex networks with positive degree-degree
correlation. In this model, one starts with $N$ nodes and then adds links successively between pairs of nodes selected in a specific way. If one selects nodes randomly among all nodes, one obtains a random network with no degree correlation. The positive correlation is generated by selecting nodes of the same degree preferentially. Structral properties of the model will be presented. We also report our numerical results on the percolation transition of the model network with the positive degree-degree correlation.},
added-at = {2007-06-20T10:16:09.000+0200},
address = {Genova, Italy},
author = {Kim, S.W. and Noh, J.D.},
biburl = {https://www.bibsonomy.org/bibtex/26dd52976d8f6e7770508ce447c4cf2f0/statphys23},
booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano},
interhash = {b06368f49807e915a027712b78dcef42},
intrahash = {6dd52976d8f6e7770508ce447c4cf2f0},
keywords = {complex correlation network percolation statphys23 topic-11 transition},
month = {9-13 July},
timestamp = {2007-06-20T10:16:28.000+0200},
title = {Model for complex networks with degree-degree correlation},
url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=719},
year = 2007
}