Abstract. In this note we introduce a new randomized algorithm for counting triangles in graphs. We show that under mild conditions, the estimate of our algorithm is strongly concentrated around the true number of triangles. Specifi-cally, if p ≥ max ( ∆ lognt, logn√t), where n, t, ∆ denote the number of vertices in G, the number of triangles in G, the maximum number of triangles an edge of G is contained, then for any constant > 0 our unbiased estimate T is concentrated around its expectation, i.e., Pr [|T − E [T] | ≥ E [T]] = o(1). Finally, we present a MapReduce implementation of our algorithm. 1
Abstract. Starting from a complete graph on n vertices, repeatedly delete the edges of a uniformly c...
We present two space bounded random sampling algorithms that compute an approximation of the number ...
<p>The random greedy algorithm for constructing a large partial Steiner-Triple-System is defined as ...
We describe an optimal randomized MapReduce algorithm for the problem of triangle enumeration. This ...
Abstract. Triangle counting is an important problem in graph min-ing. Clustering coefficients of ver...
We describe an optimal randomized MapReduce algorithm for the problem of triangle enumeration that r...
Abstract. Graphs and networks are used to model interactions in a variety of contexts. There is a gr...
In this article, we study the problem of approximate local triangle counting in large graphs. Namely...
Listing all triangles is a fundamental graph operation. Triangles can have important interpretations...
International audienceEstimating the number of triangles in graph streams using a limited amount of ...
We count the asymptotic number of triangles in uniform random graphs where the degree distribution f...
In this paper we study the problem of local triangle counting in large graphs. Namely, given a large...
Abstract. Starting from a complete graph on n vertices, repeatedly delete the edges of a uniformly c...
In these notes we discuss the earlier sections of a paper of Suri and Vassilvitskii, with the great ...
We describe an optimal randomized MapReduce algo-rithm for the problem of triangle enumeration that ...
Abstract. Starting from a complete graph on n vertices, repeatedly delete the edges of a uniformly c...
We present two space bounded random sampling algorithms that compute an approximation of the number ...
<p>The random greedy algorithm for constructing a large partial Steiner-Triple-System is defined as ...
We describe an optimal randomized MapReduce algorithm for the problem of triangle enumeration. This ...
Abstract. Triangle counting is an important problem in graph min-ing. Clustering coefficients of ver...
We describe an optimal randomized MapReduce algorithm for the problem of triangle enumeration that r...
Abstract. Graphs and networks are used to model interactions in a variety of contexts. There is a gr...
In this article, we study the problem of approximate local triangle counting in large graphs. Namely...
Listing all triangles is a fundamental graph operation. Triangles can have important interpretations...
International audienceEstimating the number of triangles in graph streams using a limited amount of ...
We count the asymptotic number of triangles in uniform random graphs where the degree distribution f...
In this paper we study the problem of local triangle counting in large graphs. Namely, given a large...
Abstract. Starting from a complete graph on n vertices, repeatedly delete the edges of a uniformly c...
In these notes we discuss the earlier sections of a paper of Suri and Vassilvitskii, with the great ...
We describe an optimal randomized MapReduce algo-rithm for the problem of triangle enumeration that ...
Abstract. Starting from a complete graph on n vertices, repeatedly delete the edges of a uniformly c...
We present two space bounded random sampling algorithms that compute an approximation of the number ...
<p>The random greedy algorithm for constructing a large partial Steiner-Triple-System is defined as ...