SUBLINEAR

Sublinear algorithms for the analysis of very large graphs

 Coordinatore TECHNISCHE UNIVERSITAT DORTMUND 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Germany [DE]
 Totale costo 1˙475˙306 €
 EC contributo 1˙475˙306 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2012-StG_20111012
 Funding Scheme ERC-SG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-12-01   -   2017-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAT DORTMUND

 Organization address address: AUGUST SCHMIDT STRASSE 4
city: DORTMUND
postcode: 44227

contact info
Titolo: Mr.
Nome: Michael
Cognome: Lohmeier
Email: send email
Telefono: +49 231 755 2448
Fax: +49 231 755 2756

DE (DORTMUND) hostInstitution 1˙475˙306.00
2    TECHNISCHE UNIVERSITAT DORTMUND

 Organization address address: AUGUST SCHMIDT STRASSE 4
city: DORTMUND
postcode: 44227

contact info
Titolo: Prof.
Nome: Christian
Cognome: Sohler
Email: send email
Telefono: +49 231 755 6940
Fax: +49 231 755 2047

DE (DORTMUND) hostInstitution 1˙475˙306.00

Mappa


 Word cloud

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

graphs    structure    sampling    analyze    networks    graph   

 Obiettivo del progetto (Objective)

'Large graphs appear in many application areas. Typical examples are the webgraph, the internet graph, friendship graphs of social networks like facebook or Google, citation graphs, collaboration graphs, and transportation networks. The structure of these graphs contains valuable information but their size makes them very hard to analyze. We need special algorithm that analyze the graph structure via random sampling. The main objective of the proposed project is to advance our understanding of the foundations of sampling processes for the analysis of the structure of large graphs. We will use the approach of Property Testing, a theoretical framework to analyze such sampling algorithms.'

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