2007
DOI: 10.1073/pnas.0706375104
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The modularity of pollination networks

Abstract: In natural communities, species and their interactions are often organized as nonrandom networks, showing distinct and repeated complex patterns. A prevalent, but poorly explored pattern is ecological modularity, with weakly interlinked subsets of species (modules), which, however, internally consist of strongly connected species. The importance of modularity has been discussed for a long time, but no consensus on its prevalence in ecological networks has yet been reached. Progress is hampered by inadequate me… Show more

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Cited by 2,002 publications
(2,454 citation statements)
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References 44 publications
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“…This procedure was used to identify the network partition that yielded the greatest degree of modularity, maximizing the difference between the observed density of the edges within modules and the density expected by chance. The SA method is one of the most effective methods available (for a comparison see Danon et al 2005;Olesen et al 2007), and we further verified the consistency of the results (Supplementary Data S1). We also evaluated network structure consistency due to the removal of sporadically observed individuals, by calculating the clustering coefficient and modularity under different observation thresholds (Supplementary Data S2).…”
Section: Social Network Topologysupporting
confidence: 68%
“…This procedure was used to identify the network partition that yielded the greatest degree of modularity, maximizing the difference between the observed density of the edges within modules and the density expected by chance. The SA method is one of the most effective methods available (for a comparison see Danon et al 2005;Olesen et al 2007), and we further verified the consistency of the results (Supplementary Data S1). We also evaluated network structure consistency due to the removal of sporadically observed individuals, by calculating the clustering coefficient and modularity under different observation thresholds (Supplementary Data S2).…”
Section: Social Network Topologysupporting
confidence: 68%
“…2003; Olesen et al . 2007; Allesina & Pascual 2009). As we show here, the structural roles of links can also be characterized by the pair of species that make them up and, by extension, all other links those species participate in.…”
Section: Resultsmentioning
confidence: 99%
“…We explored the effect of increasing sampling effort in six qualitative and four quantitative network descriptors. Qualitative descriptors included: Connectance, the proportion of realised links from all possible links in the network (Jordano 1987); Nestedness (NODF) (Almeida-Neto, Guimarães, Guimarães, Loyola, & Ulrich 2008), which reflects the degree of organization of interactions around a core of generalist species; Disperser richness; Seed richness; Link richness; Qualitative Modularity, reporting the existence of clusters of tightly interacting species (Olesen, Bascompte, Dupont, & Jordano 2007). Qualitative Modularity was estimated with the algorithm QuaBiMo (Dormann & Strauss 2014) using both binary (qualitative) and weighted (quantitative) matrices.…”
Section: Network Descriptorsmentioning
confidence: 99%