Title
On estimating path aggregates over streaming graphs
Abstract
We consider the updatable streaming graph model, where edges of a graph arrive or depart in arbitrary sequence and are processed in an online fashion using sub-linear space and time. We study the problem of estimating aggregate path metrics Pk defined as the number of pairs of vertices that have a simple path between them of length k. For a streaming undirected graph with n vertices, m edges and r components, we present an $\tilde{O}(m(m-r)^{-1/4})$ space algorithm for estimating P2 and an $\Omega(\sqrt{m})$ space lower bound. We show that estimating P2 over directed streaming graphs, and estimating Pk over streaming graphs (whether directed or undirected), for any k ≥3 requires Ω(n2) space. We also present a space lower bound of Ω(n2) for the problems of (a) deterministically testing the connectivity, and, (b) estimating the size of transitive closure, of undirected streaming graphs that allow both edge-insertions and deletions.
Year
DOI
Venue
2006
10.1007/11940128_18
ISAAC
Keywords
Field
DocType
aggregate path metrics,n vertex,graph model,arbitrary sequence,undirected graph,sub-linear space,space algorithm,m edge,path aggregate,simple path,length k,transitive closure,linear space,lower bound
Adjacency list,Graph theory,Discrete mathematics,Combinatorics,Path (graph theory),Vertex (geometry),Linear space,Directed graph,Connectivity,Longest path problem,Mathematics
Conference
Volume
ISSN
ISBN
4288
0302-9743
3-540-49694-7
Citations 
PageRank 
References 
5
0.50
8
Authors
2
Name
Order
Citations
PageRank
Sumit Ganguly1813236.01
Barna Saha262637.56