The network takeover

By Albert-László Barabási. Nature Physics, 2011

516 citations recorded by the source corpus.

Subfields: Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5bfc9b68227818df8ce255f38d9fbf7a7f9e812d

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In Statistical and Nonlinear Physics

Citations in the corpus

Networks beyond pairwise interactions: structure and dynamics (2020, methodology): “However, there exist other paths that make the HOrS connected, for example, [1,2,4] is connected to [3,4,5].”
The rise of Network Ecology: Maps of the topic diversity and scientific collaboration (2013, background): “Barabási (2012) argues that the rise of network science is in part because we are in a period of science in which we have reached the current limits of reductionism in many domains.”
The Kuramoto model in complex networks (2015, background): “In parallel with the advances in the study of the traditional Kuramoto model, over almost the last two decades one has witnessed the rapid development of the new field of network science [5], which not only brought new insights into the characterization of real networks, but also introduced a new di”
Network analysis: a brief overview and tutorial (2018, background): “‘Scale free’ networks are characterised by a relatively small number of nodes that are connected to many other nodes (Barabási, 2012).”
The Matthew effect in empirical data (2014, background): “The recently acquired prominence of the Matthew effect is largely due to the rise of network science [51], and the concept of preferential attachment in particular [16].”
Network analysis: an integrative approach to the structure of psychopathology. (2013, background): “In this review, we argue that complex network approaches, which are currently being developed at the crossroads of various scientific fields (Barabási 2011), have the potential to provide a way of thinking about disorders that does justice to their complex organization.”
Bridge Centrality: A Network Approach to Understanding Comorbidity (2019, background): “Network models are used within a wide variety of scientific fields (Barab asi, 2012).”
Languages cool as they expand: Allometric scaling and the decreasing need for new words (2012, background): “[3] Barabási, A.”