A localized method to distribute paths on random graphs is devised, aimed at finding the shortest paths between given source/destination pairs while avoiding path overlaps at nodes. We propose a method based on message-passing techniques to process global information and distribute paths optimally. Statistical properties such as scaling with system size and number of paths, average path-length and the transition to the frustrated regime are analyzed. The performance of the suggested algorithm is evaluated through a comparison against a greedy algorithm. Copyright © 2014 IOP Publishing Ltd and SISSA Medialab srl.
|Journal||Journal of Statistical Mechanics: Theory and Experiment|
|Publication status||Published - Jul 2014|
CitationDe Bacco, C., Franz, S., Saad, D., & Yeung, C. H. (2014). Shortest node-disjoint paths on random graphs. Journal of Statistical Mechanics: Theory and Experiment, 2014. Retrieved from http://dx.doi.org/10.1088/1742-5468/2014/07/P07009
- Cavity and replica method
- Optimization over networks
- Message-passing algorithms