Exploring complex networks
By Steven H. Strogatz. Nature, 2001
8,184 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a080ae25221ee29082f4f30302c65fe901abfe7a
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Citations in the corpus
- A tutorial on modeling and analysis of dynamic social networks. Part I (2017, methodology): “The development of SNA has inspired many important concepts of modern network theory [13–15] such as e.g. cliques and communities, centrality measures, small-world network, graph’s density and clustering coefficient.”
- Statistical mechanics of networks. (2004, background): “…few years have seen the publication of a large volume of work in the physics literature on networks of various kinds, particularly computer and information networks like the Internet and world wide web, biological networks such as food webs and metabolic networks, and social networks [1, 2, 3, 4].”
- “Pyramiding: Efficient search for rare subjects” (2009, background): “Network theory points out that the efficiency with which one can move from point A to desired point B will depend upon the structure of the network – the number and distribution of the links between nodes (e.g. Burt 1992, Strogatz 2001).”
- Spread of epidemic disease on networks. (2002, background): “In recent years a large body of research, particularly within the statistical physics community, has addressed the topological properties of networks of various kinds, from both theoretical and empirical points of view, and studied the effects of topology on processes taking place on those networks ”
- Visualization of interfirm relations in a converging mobile ecosystem (2008, background): “As a result, there a growing number of studies investigating how strategic alliances, partnerships, and collaborations are formed in a network context and what impact network formation, structure, and participation have on firm performance, innovation, and market evolution [1, 16, 25, 27, 57].”
- Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease (2008, background): “It has been suggested that regular lattices have reduced signal propagation speed and synchronizability compared with small-world networks (Strogatz, 2001).”
- Random Walks on Simplicial Complexes and the normalized Hodge Laplacian (2018, background): “Due to the broad scope of this modeling paradigm, the analysis of systems as networks by means of graph-theoretic tools has been tremendously successful, with applications in biological, technological, and social systems [2, 20, 93, 95, 120].”
- Statistical physics of vaccination (2016, methodology): “• Small-world (SW) network: A more sophisticated and tractable model of a network with small proximity and high clustering coefficient is the small-world network model proposed by Watts and Strogatz (i.e. WS model) [174].”
- Centrality measures and the importance of generalist species in pollination networks (2010, background): “The topological structure of complex networks strongly determines their dynamics and stability (Strogatz, 2001; Kolasa, 2005, 2006; Namba et al., 2008).”
- Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity (2010, background): “It can be used to explore and quantify the structure of whole-brain patterns of anatomical and functional connectivity [20,21].”
- Supply-chain networks: a complex adaptive systems perspective (2005, background): “The ubiquity of networks in the social, biological and physical sciences and in technology leads naturally to an important set of common problems, which are being currently studied under the rubric of ‘Network Dynamics’ (Strogatz 2001).”