MODULAR: software for the autonomous computation of modularity in large network sets

被引：137

作者：

Darcie Marquitti, Flavia Maria ^{[1
]}

Guimaraes, Paulo Roberto, Jr. ^{[1
]}

Pires, Mathias Mistretta ^{[1
]}

Bittencourt, Luiz Fernando ^{[2
]}

机构：

[1] Univ Sao Paulo, Depto Ecol, BR-05508900 Sao Paulo, Brazil

[2] Univ Estadual Campinas, Inst Computacao, BR-13083852 Campinas, SP, Brazil

来源：

ECOGRAPHY | 2014年 / 37卷 / 03期

基金：

巴西圣保罗研究基金会;

关键词：

ECOLOGICAL NETWORKS; COMPLEX NETWORKS; MODELS; BIODIVERSITY; COMPARTMENTS; INCREASES;

D O I：

10.1111/j.1600-0587.2013.00506.x

中图分类号：

X176 [生物多样性保护];

学科分类号：

090705 ;

摘要：

Many ecological systems can be represented as networks of interactions. A key feature in these networks is their organization into modules, which are subsets of tightly connected elements. We introduce MODULAR to perform rapid and autonomous calculation of modularity in network sets. MODULAR reads a set of files representing unipartite or bipartite networks, and identifies modules using two different modularity metrics widely used in the ecological networks literature. To estimate modularity, the software offers five optimization methods to the user. The software also includes two null models commonly used in studies of ecological networks to verify how the degree of modularity differs from two distinct theoretical benchmarks.

引用

页码：221 / 224

页数：4

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