2008
DOI: 10.1103/physrevlett.101.168702
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Prominence and Control: The Weighted Rich-Club Effect

Abstract: Complex systems are often characterized by large-scale hierarchical organizations. Whether the prominent elements, at the top of the hierarchy, share and control resources or avoid one another lies at the heart of a system's global organization and functioning. Inspired by network perspectives, we propose a new general framework for studying the tendency of prominent elements to form clubs with exclusive control over the majority of a system's resources. We explore associations between prominence and control i… Show more

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Cited by 338 publications
(324 citation statements)
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References 28 publications
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“…On the colony level of GB2, we found an assortative [2,26] and modular pattern of social links that is typical for social networks known from humans and dolphins [26,27]. The observed assortativity and modularity values are both significantly higher than in a corresponding random network [25] . By contrast, on the community level of GB2, as well as for the whole BS colony, the network is disassortative (r ¼ 21.000 to 20.510) and non-modular, confirming the absence of further subunits and suggesting that communities resemble random networks (p ¼ 0.001 -1.000, in 23 out of 28 comparisons with random networks no significant difference was observed for assortativity and modularity values).…”
Section: Results (A) Distribution Of Individual Roosting Associationsmentioning
confidence: 68%
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“…On the colony level of GB2, we found an assortative [2,26] and modular pattern of social links that is typical for social networks known from humans and dolphins [26,27]. The observed assortativity and modularity values are both significantly higher than in a corresponding random network [25] . By contrast, on the community level of GB2, as well as for the whole BS colony, the network is disassortative (r ¼ 21.000 to 20.510) and non-modular, confirming the absence of further subunits and suggesting that communities resemble random networks (p ¼ 0.001 -1.000, in 23 out of 28 comparisons with random networks no significant difference was observed for assortativity and modularity values).…”
Section: Results (A) Distribution Of Individual Roosting Associationsmentioning
confidence: 68%
“…Applying a community detection algorithm [14 -16] on the weighted network, we find in the larger colony, GB2, two distinct communities (range of the modularity-value Q max : 0.125 -0.249; comparison to an equivalent random network [25] Bat social relationships G. Kerth et al 2763 size of the entire colony BS, suggesting that social structure in Bechstein's bats depends on colony size. The decomposition of GB2 into two communities is particularly evident when we analyse only strong links between bats (in the upper mode of the bimodal distribution of I ij , Q max : 0.490 -0.499).…”
Section: Results (A) Distribution Of Individual Roosting Associationsmentioning
confidence: 99%
“…This creates a positive correlation between degree and strength of ties. 5 The correlation between the degree of two nodes and the strength of the tie between them has also been explored by a number of other authors recently, see e.g., Opsahl et al (2008), Ramasco and Gonçalves (2007), and Ramasco (2007). These papers find that the relation between degrees of nodes and the strength of ties varies across networks.…”
Section: Introductionmentioning
confidence: 92%
“…Crucially, we compare these measures to the values that can be expected on a random basis. The grey area in the plots shows the 95 percent interval for these measures' values estimated on the basis of comparable random weighted networks (Opsahl et al, 2008). The plots reveal that the clustering of the network remains well above what can be expected (upper left).…”
Section: Clustering Fragmentation and Rich-clubmentioning
confidence: 76%
“…However, the arrangement of the nodes does not take link weights into account. We therefore rely on the measures of global clustering (Barrat et al, 2004;Opsahl et al, 2008), number of communities, and modularity for weighted networks (Newman & Girvan, 2004). Their values' developments over time are shown in Figure 7.…”
Section: Clustering Fragmentation and Rich-clubmentioning
confidence: 99%