Compartments revealed in food-web structure
By A. Krause, Kenneth A. Frank, D. Mason, Robert E. Ulanowicz, W. Taylor. Nature, 2003
715 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/0721c0ddbbe932446a3984af024f58da947388f2
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
- Jordi Bascompte
- Paulo Roberto Guimaraes Jr.
- Carsten F. Dormann
- Pedro Jordano
- J. Olesen
- Élisa Thébault
- Jennifer A. Dunne
- Jochen Fründ
In Sociology and Political Science
- Jordi Bascompte
- Jennifer A. Dunne
- Pedro Jordano
- Mark Newman
- Paulo Roberto Guimaraes Jr.
- Élisa Thébault
- J. Olesen
- G. Woodward
In Statistical and Nonlinear Physics
- Santo Fortunato
- Michalis Vazirgiannis
- Fragkiskos D. Malliaros
- Claudio Castellano
- Carsten F. Dormann
- Mark Newman
- Jure Leskovec
- Élisa Thébault
Citations in the corpus
- Community Structure in Graphs (2007, background): “So, communities may correspond to groups of pages of the World Wide Web dealing with related topics [11], to functional modules such as cycles and pathways in metabolic networks [12, 13], to groups of related individuals in social networks [14, 15], to compartments in food webs [16, 17 ], and so on”
- Ecological networks and their fragility (2006, background): “Krause et al. 25 provide the most complete analysis, and show that the detection of compartments requires new algorithms.”
- Specialized metabolic functions of keystone taxa sustain soil microbiome stability (2021, background): “As higher modularity has been suggested as being essential for increasing the stability of a network and promoting the stability of a microbiome [72], the diluted soil microbiome that exhibited low modularity indicated an unstable community.”
- Social network analysis of animal behaviour : a promising tool for the study of sociality (2008, neutral): “(A similar concept of ‘compartment’ has been used extensively in ecology, e.g. Krause et al. 2003.)”
- Using network analysis to explore co-occurrence patterns in soil microbial communities (2011, background): “, 2005) have been widely used by biologists, mathematicians, social scientists, and computer scientists to explore interactions between entities, whether those entities are individuals in a school (Moody, 2001), species in a food web (Krause et al., 2003), nodes on a computer network (PastorSatorras”
- Structure in plant–animal interaction assemblages (2006, background): “Indications of compartmentation have been found through reanalysis of several complete food webs (Krause et al. 2003), or by way of new analytical procedures applied to plant /herbivore assemblages (Prado and Lewinsohn 2004).”
- Analysis of weighted networks. (2004, background): “Quite a number of such algorithms have been proposed in recent years [35, 36, 37, 38, 39, 40, 41], and in theory any of these could be generalized to the case of weighted graphs.”
- Fungal networks in yield-invigorating and -debilitating soils induced by prolonged potato monoculture. (2013, methodology): “…to be a powerful tool in revealing the interactions among entities in a system, such as individuals in a school (Moody, 2001), species in food webs (Krause et al., 2003; Woodward et al., 2012), nodes on a computer network (PastorSatorras and Vespignani, 2001; Volchenkov et al., 2002), proteins q…”
- Finding community structure in networks using the eigenvectors of matrices. (2006, neutral): “A huge variety of community detection techniques have been developed, based variously on centrality measures, flow models, random walks, resistor networks, optimization, and many other approaches [5, 8, 9, 18, 20, 21 , 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35].”