745 search results - page 49 / 149 » On Generating Random Network Structures: Connected Graphs |
149
Voted
WAW
2010
Springer
14 years 10 months ago
2010
Springer
Large scale real-world network data such as social and information networks are ubiquitous. The study of such social and information networks seeks to find patterns and explain th...
108
Voted
SNPD
2007
15 years 1 months ago
2007
Source and destination location privacy is a challenging and important problem in sensor networks. Nevertheless, privacy preserving communication in sensor networks is still a vir...
167
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
101
Voted
KDD
2007
ACM
16 years 28 days ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
123
Voted
IPSN
2004
Springer
15 years 5 months ago
2004
Springer
Topology management schemes conserve energy in wireless ad hoc networks by identifying redundant nodes that may turn off their radios or other components while maintaining connec...