eprintid: 77144
rev_number: 33
eprint_status: archive
userid: 608
dir: disk0/00/07/71/44
datestamp: 2010-10-17 15:20:39
lastmod: 2021-12-13 01:49:15
status_changed: 2010-10-17 15:20:39
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Zhou, S
title: Understanding the evolution dynamics of internet topology
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
keywords: Complex Networks
note: ©2006 The American Physical Society
abstract: The internet structure is extremely complex. The positive-feedback preference (PFP) model is a recently introduced internet topology generator. The model uses two generic algorithms to replicate the evolution dynamics observed on the internet historic data. The phenomenological model was originally designed to match only two topology properties of the internet, i.e., the rich-club connectivity and the exact form of degree distribution, whereas numerical evaluation has shown that the PFP model accurately reproduces a large set of other nontrivial characteristics as well. This paper aims to investigate why and how this generative model captures so many diverse properties of the internet. Based on comprehensive simulation results, the paper presents a detailed analysis on the exact origin of each of the topology properties produced by the model. This work reveals how network evolution mechanisms control the obtained topology properties and it also provides insights on correlations between various structural characteristics of complex networks.
date: 2006-07
publisher: AMERICAN PHYSICAL SOC
official_url: http://dx.doi.org/10.1103/PhysRevE.74.016124
vfaculties: VENG
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_manual
elements_source: Web of Science
elements_id: 153395
doi: 10.1103/PhysRevE.74.016124
language_elements: EN
lyricists_name: Zhou, Shi
lyricists_id: SZHOU15
full_text_status: public
publication: Physical Review E
volume: 74
number: 1
article_number: 016124
issn: 1539-3755
citation:        Zhou, S;      (2006)    Understanding the evolution dynamics of internet topology.                   Physical Review E , 74  (1)    , Article 016124.  10.1103/PhysRevE.74.016124 <https://doi.org/10.1103/PhysRevE.74.016124>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/77144/1/PhysRevE.74.016124.pdf