HYPERBOLIC GRAPHS

Hyperbolic random graphs

 Coordinatore THE UNIVERSITY OF BIRMINGHAM 

 Organization address address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT

contact info
Titolo: Ms.
Nome: May
Cognome: Chung
Email: send email
Telefono: 441214000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2011-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-09-01   -   2015-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF BIRMINGHAM

 Organization address address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT

contact info
Titolo: Ms.
Nome: May
Cognome: Chung
Email: send email
Telefono: 441214000000

UK (BIRMINGHAM) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

geometric    world    hyperbolic    natural    networks    negative    last    curvature    model    years    spaces    on    real    random    theory    graphs   

 Obiettivo del progetto (Objective)

'The theme of this project is the development of the theory of random geometric graphs on spaces of constant negative curvature. These are the hyperbolic random graphs. The aim is twofold. Firstly, this theory is a natural next step on the theory of random geometric graphs, which has been developed during the last 15 years and has mainly focused on geometric graphs on Euclidean spaces. The second and perhaps most timely aim is to exploit hyperbolic random graphs as a model for real-world networks. The rapid development of the Internet over the last 15 years and its vast impact on a globalised world has brought the search for a model of real-world networks into the forefront of Science. Recent work has shown that hyperbolic random graphs exhibit properties that are observed in real-world networks. This work is based on heuristics and computer-aided simulations. The main task of this project will be to verify rigorously these observations and explore further the role of spaces of negative curvature as natural host spaces, which can accommodate structures that represent social relations and hierarchies.'

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