Linked Life Data

15007165

Source:http://linkedlifedata.com/resource/pubmed/id/15007165

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2004-3-17
pubmed:abstractText
Networked structures arise in a wide array of different contexts such as technological and transportation infrastructures, social phenomena, and biological systems. These highly interconnected systems have recently been the focus of a great deal of attention that has uncovered and characterized their topological complexity. Along with a complex topological structure, real networks display a large heterogeneity in the capacity and intensity of the connections. These features, however, have mainly not been considered in past studies where links are usually represented as binary states, i.e., either present or absent. Here, we study the scientific collaboration network and the world-wide air-transportation network, which are representative examples of social and large infrastructure systems, respectively. In both cases it is possible to assign to each edge of the graph a weight proportional to the intensity or capacity of the connections among the various elements of the network. We define appropriate metrics combining weighted and topological observables that enable us to characterize the complex statistical properties and heterogeneity of the actual strength of edges and vertices. This information allows us to investigate the correlations among weighted quantities and the underlying topological structure of the network. These results provide a better description of the hierarchies and organizational principles at the basis of the architecture of weighted networks.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:day
16
pubmed:volume
101
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3747-52
pubmed:dateRevised
2010-9-20
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
The architecture of complex weighted networks.
pubmed:affiliation
Laboratoire de Physique Théorique, Unité Mixte de Recherche du Centre National de la Recherche Scientifique 8627, Bâtiment 210, Université de Paris-Sud, 91405 Orsay Cedex, France.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't