Characterization of topological keystone species: Local, global and “meso-scale” centralities in food webs

By Ernesto Estrada. 2007

130 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/757d5e225956f35657d41e73217a0ffd69a5ecd1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. Paulo Roberto Guimaraes Jr.
2. Marta Coll
3. A. Valls
4. Villy Christensen
5. Marco Scotti
6. János Podani
7. Ferenc Jordán
8. B. Dalsgaard

In Sociology and Political Science

1. Villy Christensen
2. Marta Coll
3. A. Valls
4. Paulo Roberto Guimaraes Jr.
5. Marco Scotti
6. János Podani
7. Ferenc Jordán
8. Michele Benzi

In Statistical and Nonlinear Physics

1. Ernesto Estrada
2. Michele Benzi
3. Naomichi Hatano
4. Paulo Roberto Guimaraes Jr.
5. Ferenc Jordán
6. Marta Coll
7. A. Valls
8. János Podani

Citations in the corpus

• What makes a species central in a cleaning mutualism network (2010, methodology): “This procedure assured that a unique and consistent measure of centrality would be available for each species, even if using different approaches of centrality (Estrada 2007).”
• Disentangling social networks from spatiotemporal dynamics: the temporal structure of a dolphin society (2012, methodology): “To select the most influential measure, we applied a principal components analysis (PCA; see Estrada 2007).”
• Centrality measures and the importance of generalist species in pollination networks (2010, background): “…as shown in several ecological and non-ecological studies (Dunne et al., 2002; Goh et al., 2002; Guimerà and Amaral, 2004; Hahn and Kerns, 2004; Memmott et al., 2004; Jordán et al., 2006; Lee, 2006; Estrada, 2007); and (ii) nestedness, a dominant pattern widely observed in pollination networks.”
• Weighting, scale dependence and indirect effects in ecological networks: A comparative study (2007, methodology): “We were interested in the centrality rank of nodes in each network for each index, for both the weighted and the unweighted case (Jordán et al., 2006a, 2007; Estrada, 2007).”
• Keystone species: toward an operational concept for marine biodiversity conservation (2015, methodology): “ENA-based approaches are used to derive quantitative structural indices describing species position in complex networks of interspecific interactions (e.g., Estrada 2007, Jordán 2009, Jordán et al. 2009).”
• The Physics of Communicability in Complex Networks (2011, methodology): “This method has been used to classify complex networks into different universal structural classes (Estrada, 2007c) and has allowed the generation of algorithms for constructing networks that reproduce some of these structural classes (van Kerrenbroeck and Marinari, 2008).”
• Network Properties Revealed through Matrix Functions (2010, background): “Subgraph centrality has been successfully applied to the identification of essential proteins in protein-protein interaction networks [25], detection of keystone species [26] and patches [27] in ecological food webs and landscapes, respectively, to the analysis of infrastructure robustness [23], and”