Evolution and Structure of the Internet: Index

By Romualdo Pastor-Satorras, Alessandro Vespignani. 2004

589 citations recorded by the source corpus.

Subfields: Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/3ce7824082f17fb468224d9c4ef3dfb0d0cd1fa3

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In Statistical and Nonlinear Physics

Citations in the corpus

Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Each Internet model usually reflects a few of these features, which leads to a variety of complementary models [191].”
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks (2008, background): “The aim is to reconcile the fine spatiotemporal evolution of the social network with the coarse-grained structure used at the large-scale population level.”
Random Graphs and Complex Networks (2016, background): “The physics perspective to Internet is summarized in the book by Pastor-Satorras and Vespignani [217], where also the criticism on the scalefree properties of the Internet is addressed.”
Navigability of Complex Networks (2007, background): “Networks are ubiquitous in all domains of science and technology, and permeate many aspects of daily human life [1, 2, 3, 4], especially upon the rise of the information technology society [5, 6].”
The evolution of the world trade web: a weighted-network analysis (2010, background): “Scholars from such academic disciplines have begun to extensively explore the statistical properties of technological, biological and information networks with new and more powerful statistical tools (Albert and Barabási, 2002; Dorogovtsev and Mendes, 2003; Newman, 2003; Pastos-Satorras and Vespigna”
Detecting rich-club ordering in complex networks (2006, methodology): “In this context, the statistical physics approach has been exploited as a very convenient strategy because of its deep connection with statistical graph theory and because of its power to quantitatively characterize macroscopic phenomena in terms of the microscopic dynamics of the various systems [1”
The role of the airline transportation network in the prediction and predictability of global epidemics (2006, background): “however the introduction of the inherent complex features and emerging properties [11, 12, 13 ]”
Robustness of a Network of Networks (2010, background): “In recent years, dramatic advances in the field of complex networks have occurred [1–14].”