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SIGMETRICS
2003
ACM
150views Hardware» more  SIGMETRICS 2003»
13 years 9 months ago
Conductance and congestion in power law graphs
It has been observed that the degrees of the topologies of several communication networks follow heavy tailed statistics. What is the impact of such heavy tailed statistics on the...
Christos Gkantsidis, Milena Mihail, Amin Saberi
INFOCOM
2003
IEEE
13 years 9 months ago
Sampling Biases in IP Topology Measurements
— Considerable attention has been focused on the properties of graphs derived from Internet measurements. Router-level topologies collected via traceroute-like methods have led s...
Anukool Lakhina, John W. Byers, Mark Crovella, Pen...
FOCS
2003
IEEE
13 years 10 months ago
On Certain Connectivity Properties of the Internet Topology
We show that random graphs in the preferential connectivity model have constant conductance, and hence have worst-case routing congestion that scales logarithmically with the numb...
Milena Mihail, Christos H. Papadimitriou, Amin Sab...
APPROX
2005
Springer
122views Algorithms» more  APPROX 2005»
13 years 10 months ago
Finding a Maximum Independent Set in a Sparse Random Graph
We consider the problem of finding a maximum independent set in a random graph. The random graph G, which contains n vertices, is modelled as follows. Every edge is included inde...
Uriel Feige, Eran Ofek
INFOCOM
2006
IEEE
13 years 10 months ago
On Heterogeneous Overlay Construction and Random Node Selection in Unstructured P2P Networks
— Unstructured p2p and overlay network applications often require that a random graph be constructed, and that some form of random node selection take place over that graph. A ke...
Vivek Vishnumurthy, Paul Francis
IJCNN
2006
IEEE
13 years 10 months ago
Predictive Random Graph Ranking on the Web
Abstract— The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by form...
Haixuan Yang, Irwin King, Michael R. Lyu
SAGA
2007
Springer
13 years 10 months ago
Approximate Discovery of Random Graphs
In the layered-graph query model of network discovery, a query at a node v of an undirected graph G discovers all edges and non-edges whose endpoints have different distance from ...
Thomas Erlebach, Alexander Hall, Matús Miha...
FOCS
2008
IEEE
13 years 11 months ago
Mixing Time of Exponential Random Graphs
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
Shankar Bhamidi, Guy Bresler, Allan Sly
APPROX
2009
Springer
98views Algorithms» more  APPROX 2009»
13 years 11 months ago
Random Tensors and Planted Cliques
The r-parity tensor of a graph is a generalization of the adjacency matrix, where the tensor’s entries denote the parity of the number of edges in subgraphs induced by r distinc...
S. Charles Brubaker, Santosh Vempala