Publication

Virtual Round Table on ten leading questions for network research

2004
Journal Articles

Abstract

The following discussion is an edited summary of the public debate started during the conference "Growing Networks and Graphs in Statistical Physics, Finance, Biology and Social Systems" held in Rome in September 2003. Drafts documents were circulated electronically among experts in the field and additions and follow-up to the original discussion have been included. Among the scientists participating to the discussion L. A. N. Amaral, A. Barrat, A. L. Barabasi, G. Caldarelli, P. De Los Rios, A. Erzan, B. Kahng, R. Mantegna, J. F. F. Mendes, R. Pastor-Satorras, A. Vespignani are acknowledged for their contributions and editing.

Official source

https://infoscience.epfl.ch/entities/publication/ae8069a4-50ad-483c-9259-b7eb633c0f7d

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2004
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/ae8069a4-50ad-483c-9259-b7eb633c0f7d

About this result

Related concepts (32)

Complex network

In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in networks representing real systems. The study of complex networks is a young and active area of scientific research (since 2000) inspired largely by empirical findings of real-world networks such as computer networks, biological networks, technological networks, brain networks, climate networks and social networks.

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In the mathematical discipline of graph theory, the line graph of an undirected graph G is another graph L(G) that represents the adjacencies between edges of G. L(G) is constructed in the following way: for each edge in G, make a vertex in L(G); for every two edges in G that have a vertex in common, make an edge between their corresponding vertices in L(G). The name line graph comes from a paper by although both and used the construction before this.

Related publications (16)

Virtual Round Table on ten leading questions for network research

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