dc.contributor.author |
Tsoumanis, AC |
en |
dc.contributor.author |
Rajendran, K |
en |
dc.contributor.author |
Siettos, CI |
en |
dc.contributor.author |
Kevrekidis, IG |
en |
dc.date.accessioned |
2014-03-01T02:52:56Z |
|
dc.date.available |
2014-03-01T02:52:56Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.issn |
0094243X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/36156 |
|
dc.subject |
coarse graining |
en |
dc.subject |
equation-free |
en |
dc.subject |
network evolution |
en |
dc.title |
Coarse-graining the dynamics of network evolution: The rise and fall of a networked society |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1063/1.3636666 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1063/1.3636666 |
en |
heal.publicationDate |
2011 |
en |
heal.abstract |
We explore a systematic approach to studying network evolutionary models at a coarse-grained, systems level. We emphasize the importance of finding good observables (network properties) in terms of which coarse-grained models can be developed. We illustrate our approach on a particular social network model: the ""rise and fall"" of a networked society; we implement the low-dimensional description computationally using the equation-free approach. © 2011 American Institute of Physics. |
en |
heal.journalName |
AIP Conference Proceedings |
en |
dc.identifier.doi |
10.1063/1.3636666 |
en |
dc.identifier.volume |
1389 |
en |
dc.identifier.spage |
42 |
en |
dc.identifier.epage |
45 |
en |