Sciweavers

61 search results - page 10 / 13
» The diameter of random massive graphs
Sort
View
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 7 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
PVLDB
2010
127views more  PVLDB 2010»
13 years 2 months ago
Mining Significant Semantic Locations From GPS Data
With the increasing deployment and use of GPS-enabled devices, massive amounts of GPS data are becoming available. We propose a general framework for the mining of semantically me...
Xin Cao, Gao Cong, Christian S. Jensen
INFOCOM
2008
IEEE
14 years 1 months ago
Swarming on Optimized Graphs for n-Way Broadcast
—In an n-way broadcast application each one of n overlay nodes wants to push its own distinct large data file to all other n-1 destinations as well as download their respective ...
Georgios Smaragdakis, Azer Bestavros, Nikolaos Lao...
MST
2010
187views more  MST 2010»
13 years 2 months ago
Distributed Approximation of Capacitated Dominating Sets
We study local, distributed algorithms for the capacitated minimum dominating set (CapMDS) problem, which arises in various distributed network applications. Given a network graph...
Fabian Kuhn, Thomas Moscibroda
SPAA
2004
ACM
14 years 26 days ago
Fighting against two adversaries: page migration in dynamic networks
Page migration is one of the fundamental subproblems in the framework of data management in networks. It occurs in a distributed network of processors sharing one indivisible memo...
Marcin Bienkowski, Miroslaw Korzeniowski, Friedhel...