Network thinking in ecology and evolution.
By S. Proulx, Daniel E. L. Promislow, P. Phillips. Trends in Ecology & Evolution, 2005
901 citations recorded by the source corpus.
Subfields: Molecular Biology, Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/e52ab2a4c35ab58fecab8fe0653adfd323791230
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In Molecular Biology
In Sociology and Political Science
- Andrew Sih
- Daniel T. Blumstein
- D. W. Sims
- D. Jacoby
- Michel Loreau
- H. Ernstson
- A. Valiente‐Banuet
- Aviv Bergman
In Statistical and Nonlinear Physics
- Olaf Sporns
- Michael Breakspear
- Xiangyu Chang
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- H. Ernstson
- Andrew Fall
- D. Hwang
Citations in the corpus
- Using network analysis to explore co-occurrence patterns in soil microbial communities (2011, background): “Network analysis tools and network thinking (Proulx et al., 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 ”
- Modeling the Impact of Lesions in the Human Brain (2009, background): “The structural or functional robustness of networks has been investigated in a number of complex systems [12,13], including biological networks [14–16] In the case of the brain, acute injuries from trauma, tumor, or stroke, as well as chronic or degenerative disturbances due to disease, correspond t”
- Plant Facilitation and Phylogenetics (2013, background): “Network thinking has permeated many fields of ecology and evolution, resulting in a recent explosion of studies on the properties and consequences of network structure in biological systems (Proulx et al. 2005).”
- Including species interactions in risk assessments for global change (2007, background): “Use of network or food web analyses (Memmott et al., 1994; Proulx et al., 2005) may prove to be a more tractable method for investigating the effects of interactions involving multiple species, but their application on large spatial scales has yet to be demonstrated.”
- Social network analysis of animal behaviour : a promising tool for the study of sociality (2008, background): “While some early sociometric analyses were applied to primates (Sade & Dow 1994), behavioural biologists have only more recently recognized the potential of modern network tools to broader contexts (McMahon et al. 2001; Fewell 2003; Proulx et al. 2005).”
- ggClusterNet: An R package for microbiome network analysis and modularity‐based multiple network layouts (2022, positive): “Among the important and common analysis methods of microbiome, network analysis and network thinking [2] have been widely used by biologists, mathematicians, social scientists, and computational scientists to explore interactions between entities, be they individuals in a school [3], species in a…”
- Network analysis in conservation biogeography: challenges and opportunities (2010, background): “In landscapes that have been significantly modified, for example, dispersal behaviour and predator avoidance may become increasingly more important; and as organisms respond to changes in landscape structure, new species or genes may enter networks (Proulx et al., 2006), and new interactions may ari”
- Sex and social networking: the influence of male presence on social structure of female shark groups (2010, background): “Hence, behavior of each individual group member can potentially affect the overall dynamic of a social network (Proulx et al. 2005; Pike et al. 2008).”
- Disentangling Interactions in the Microbiome: A Network Perspective (2016, background): “The unparalleled value of network theory becomes apparent in cases where the goal is revealing patterns behind small- and largescale ecological and evolutionary processes within high dimensional datasets with complex distributions [17].”
- Describe, understand and predict: why do we need networks in ecology? (2016, background): “…(Melian et al. 2011), nodes can be species and the links the interactions (e.g. feeding, mutualistic, parasitic) between them (de Ruiter et al. 1995), or nodes can be ecological communities or ecosystems and the links fluxes between these localities (Proulx et al. 2005; Chad es et al. 2011).”
- The rise of Network Ecology: Maps of the topic diversity and scientific collaboration (2013, background): “…I am” Katharine Harmon (2004) “Networks are everywhere” Manuel Lima (2011) 1 Introduction Network concepts, tools, and techniques have a long history of use in ecology, but in recent years ecological science using networks appears to have grown rapidly (Ings et al., 2009, Proulx et al., 2005).”