Matrix analysis
SIAM Journal on Applied Mathematics
Protocols and Impossibility Results for Gossip-Based Communication Mechanisms
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Peer counting and sampling in overlay networks: random walk methods
Proceedings of the twenty-fifth annual ACM symposium on Principles of distributed computing
Communication in dynamic radio networks
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing
Flooding time in edge-Markovian dynamic graphs
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
How to Explore a Fast-Changing World (Cover Time of a Simple Random Walk on Evolving Graphs)
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part I
On unbiased sampling for unstructured peer-to-peer networks
IEEE/ACM Transactions on Networking (TON)
MobiOpp '10 Proceedings of the Second International Workshop on Mobile Opportunistic Networking
Estimating and sampling graphs with multidimensional random walks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Characterizing continuous-time random walks on dynamic networks
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Hi-index | 0.00 |
In this paper we study the behavior of a continuous time random walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which the CTRW is a stationary and ergodic process. In general, the stationary distribution of the walker depends on the walker rate and is difficult to characterize. However, we characterize the stationary distribution in the following cases: i) the walker rate is significantly larger or smaller than the rate in which the graph changes (time-scale separation), ii) the walker rate is proportional to the degree of the node that it resides on (coupled dynamics), and iii) the degrees of node belonging to the same connected component are identical (structural constraints). We provide examples that illustrate our theoretical findings.