Comment on 'Emergence and Resilience of Social Networks' by Fernando Vega-Redondo

Francis Bloch

Annals of Economics and Statistics, 2007, issue 86, 15-17

Abstract: The study of complex networks is one of the mort exciting recent developments in network theory. Drawing from different fields, like game theory, statistical physics, epidemiology and sociology, this is truly an inter-disciplinary venture, with applications ranging from public health to economics or social sciences in general. The basic idea is that large social networks are very complicated objects, which are best analyzed using the tools developed to study systems of particles in statistical physics. The new insights gained by this approach complement the recent economic theory of network formation (see JACKSON [2005] and GOYAL [2007]).

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.jstor.org/stable/20079190 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adr:anecst:y:2007:i:86:p:15-17

Access Statistics for this article

Annals of Economics and Statistics is currently edited by Laurent Linnemer

More articles in Annals of Economics and Statistics from GENES Contact information at EDIRC.
Bibliographic data for series maintained by Secretariat General () and Laurent Linnemer ().