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» The metamathematics of random graphs
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128
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WAW
2007
Springer
144views Algorithms» more  WAW 2007»
15 years 7 months ago
Approximating Betweenness Centrality
Betweenness is a centrality measure based on shortest paths, widely used in complex network analysis. It is computationally-expensive to exactly determine betweenness; currently th...
David A. Bader, Shiva Kintali, Kamesh Madduri, Mil...
WEA
2004
Springer
124views Algorithms» more  WEA 2004»
15 years 7 months ago
Experimental Studies of Symbolic Shortest-Path Algorithms
Abstract. Graphs can be represented symbolically by the Ordered Binary Decision Diagram (OBDD) of their characteristic function. To solve problems in such implicitly given graphs, ...
Daniel Sawitzki
IDA
2010
Springer
15 years 3 months ago
A Framework for Path-Oriented Network Simplification
Abstract. We propose a generic framework and methods for simplification of large networks. The methods can be used to improve the understandability of a given network, to complemen...
Hannu Toivonen, Sébastien Mahler, Fang Zhou
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 2 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
120
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SIAMDM
2008
79views more  SIAMDM 2008»
15 years 1 months ago
Testing Triangle-Freeness in General Graphs
In this paper we consider the problem of testing whether a graph is triangle-free, and more generally, whether it is H-free, for a fixed subgraph H. The algorithm should accept gr...
Noga Alon, Tali Kaufman, Michael Krivelevich, Dana...