| pubmed-article:18446219 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18446219 | lifeskim:mentions | umls-concept:C1882071 | lld:lifeskim |
| pubmed-article:18446219 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
| pubmed-article:18446219 | lifeskim:mentions | umls-concept:C0392762 | lld:lifeskim |
| pubmed-article:18446219 | pubmed:issue | 4 | lld:pubmed |
| pubmed-article:18446219 | pubmed:dateCreated | 2008-4-30 | lld:pubmed |
| pubmed-article:18446219 | pubmed:abstractText | Many technological, biological, social, and information networks fall into the broad class of 'small-world' networks: they have tightly interconnected clusters of nodes, and a shortest mean path length that is similar to a matched random graph (same number of nodes and edges). This semi-quantitative definition leads to a categorical distinction ('small/not-small') rather than a quantitative, continuous grading of networks, and can lead to uncertainty about a network's small-world status. Moreover, systems described by small-world networks are often studied using an equivalent canonical network model--the Watts-Strogatz (WS) model. However, the process of establishing an equivalent WS model is imprecise and there is a pressing need to discover ways in which this equivalence may be quantified. | lld:pubmed |
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| pubmed-article:18446219 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18446219 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18446219 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18446219 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18446219 | pubmed:issn | 1932-6203 | lld:pubmed |
| pubmed-article:18446219 | pubmed:author | pubmed-author:GurneyKevinK | lld:pubmed |
| pubmed-article:18446219 | pubmed:author | pubmed-author:HumphriesMark... | lld:pubmed |
| pubmed-article:18446219 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:18446219 | pubmed:volume | 3 | lld:pubmed |
| pubmed-article:18446219 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18446219 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18446219 | pubmed:pagination | e0002051 | lld:pubmed |
| pubmed-article:18446219 | pubmed:dateRevised | 2010-9-22 | lld:pubmed |
| pubmed-article:18446219 | pubmed:meshHeading | pubmed-meshheading:18446219... | lld:pubmed |
| pubmed-article:18446219 | pubmed:meshHeading | pubmed-meshheading:18446219... | lld:pubmed |
| pubmed-article:18446219 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:18446219 | pubmed:articleTitle | Network 'small-world-ness': a quantitative method for determining canonical network equivalence. | lld:pubmed |
| pubmed-article:18446219 | pubmed:affiliation | Adaptive Behaviour Research Group, Department of Psychology, University of Sheffield, Sheffield, United Kingdom. m.d.humphries@sheffield.ac.uk | lld:pubmed |
| pubmed-article:18446219 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18446219 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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