PoisotGravel2014
Référence
Poisot, T., Gravel, D. (2014) When is an ecological network complex? Connectance drives degree distribution and emerging network properties. PeerJ, 2013(1). (Scopus 
)
Résumé
Connectance and degree distributions are important components of the structure of ecological networks. In this contribution, we use a statistical argument and simple network generating models to show that properties of the degree distribution are driven by network connectance.We discuss the consequences of this finding for (1) the generation of random networks in null-model analyses, and (2) the interpretation of network structure and ecosystem properties in relationship with degree distribution. ©2014 Poisot et al.
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@ARTICLE { PoisotGravel2014,
AUTHOR = { Poisot, T. and Gravel, D. },
TITLE = { When is an ecological network complex? Connectance drives degree distribution and emerging network properties },
JOURNAL = { PeerJ },
YEAR = { 2014 },
VOLUME = { 2013 },
NUMBER = { 1 },
NOTE = { cited By 3 },
ABSTRACT = { Connectance and degree distributions are important components of the structure of ecological networks. In this contribution, we use a statistical argument and simple network generating models to show that properties of the degree distribution are driven by network connectance.We discuss the consequences of this finding for (1) the generation of random networks in null-model analyses, and (2) the interpretation of network structure and ecosystem properties in relationship with degree distribution. ©2014 Poisot et al. },
ART_NUMBER = { 251 },
AUTHOR_KEYWORDS = { Connectance; Degree distribution; Ecological networks; Food webs; Network theory; Niche model; Null models; Power-law },
DOCUMENT_TYPE = { Article },
DOI = { 10.7717/peerj.251 },
KEYWORDS = { article; ecological procedures; ecosystem monitoring; food web; null hypothesis; statistical distribution; statistical model; wide area network },
SOURCE = { Scopus },
URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84895737111&partnerID=40&md5=a777a424c0832a49282b11846dac9b53 },
}
