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Contenuto archiviato il 2024-06-18

Sublinear algorithms for the analysis of very large graphs

Obiettivo

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.

Invito a presentare proposte

ERC-2012-StG_20111012
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Meccanismo di finanziamento

ERC-SG - ERC Starting Grant

Istituzione ospitante

TECHNISCHE UNIVERSITAT DORTMUND
Contributo UE
€ 1 475 306,00
Indirizzo
AUGUST SCHMIDT STRASSE 4
44227 Dortmund
Germania

Mostra sulla mappa

Regione
Nordrhein-Westfalen Arnsberg Dortmund, Kreisfreie Stadt
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Esther Rahma (Ms.)
Ricercatore principale
Christian Sohler (Prof.)
Collegamenti
Costo totale
Nessun dato

Beneficiari (1)