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<record>
<title>Some methods for sensitivity analysis of systems / networks</title>
<authors>
<author>WenJun Zhang</author>
</authors>
<affiliations>
<affiliation>
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; International Academy of Ecology and
 Environmental Sciences, Hong Kong
</affiliation>
</affiliations>
<journal>Network Pharmacology</journal>
<issn>ISSN 2410-1000</issn>
<homepage>http://www.iaees.org/publications/journals/np/online-version.asp</homepage>
<year>2016</year>
<volume>1</volume>
<issue>3</issue>
<startpage>74</startpage>
<endpage>81</endpage>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<location>Hong Kong</location>
<date>
<received>5 January 2016</received>
<accepted>3 March 2016</accepted>
<published>1 September 2016</published>
</date>
<keywords>
<keyword>sensitivity analysis</keyword>
<keyword>systems</keyword>
<keyword>networks</keyword>
<keyword>methodology</keyword>
</keywords>
<abstract>
A network may considerably change with certain nodes, links, flows, or parameters. To find the most important nodes, links, or other parameters to determine network structure or performance is of significant. Sensitivity analysis is originated from systems science. It explores the relationship between parametric change and systematic output, and is used to find important parameters in the system model. In principle, the sensitivity analysis used in systems science can also be extended to network analysis in which the model output means network output, network stability, network flow, network structure, or other indices, and model input means network nodes, network links, network parameters, etc. In present article, some methods for sensitivity analysis of systems / networks are described in detail.
</abstract>
<doi>DOI 10.0000/issn-2410-1000-networkpahrmacology-2016-v1-0007</doi>
<url>http://www.iaees.org/publications/journals/np/articles/2016-1(3)/methods-for-sensitivity-analysis-of-systems-and-networks.pdf</url>
</record>
</records>
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