Motivated by applications that concern graphs that are evolving and massive in nature, we define a new general framework for computing with such graphs. In our framework, the graph changes over time and an algorithm can only track these changes by explicitly probing the graph. This framework captures the inherent tradeoff between the complexity of maintaining an up-to-date view of the graph and the quality of results computed with the available view. We apply this framework to two classical graph connectivity problems, namely, path connectivity and minimum spanning trees, and obtain efficient algorithms. © 2012 ACM.
Algorithms on evolving graphs / Anagnostopoulos, Aristidis; Ravi, Kumar; Mohammad, Mahdian; Eli, Upfal; Fabio, Vandin. - (2012), pp. 149-160. (Intervento presentato al convegno 3rd Conference on Innovations in Theoretical Computer Science, ITCS 2012 tenutosi a Cambridge, MA nel 8 January 2012 through 10 January 2012) [10.1145/2090236.2090249].
Algorithms on evolving graphs
ANAGNOSTOPOULOS, ARISTIDIS;
2012
Abstract
Motivated by applications that concern graphs that are evolving and massive in nature, we define a new general framework for computing with such graphs. In our framework, the graph changes over time and an algorithm can only track these changes by explicitly probing the graph. This framework captures the inherent tradeoff between the complexity of maintaining an up-to-date view of the graph and the quality of results computed with the available view. We apply this framework to two classical graph connectivity problems, namely, path connectivity and minimum spanning trees, and obtain efficient algorithms. © 2012 ACM.File | Dimensione | Formato | |
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