Document Type
Article
Publication Title
AKCE International Journal of Graphs and Combinatorics
Publication Date
2020
Keywords
dynamic graphs, shortest paths, SSSP
Abstract
Graphs are mathematical structures used in many applications. In recent years, many applications emerged that require the processing of large dynamic graphs where the graph’s structure and properties change constantly over time. Examples include social networks, communication networks, transportation networks, etc. One of the most challenging problems in large scale dynamic graphs is the single-source shortest path (SSSP) problem. Traditional solutions (based on Dijkstra’s algorithms) to the SSSP problem do not scale to large dynamic graphs with a high change frequency. In this paper, we propose an efficient SSSP algorithm for large dynamic graphs. We first present our algorithm and give a formal proof of its correctness. Then, we give an analytical evaluation of the proposed solution.
DOI
10.1016/j.akcej.2020.01.002
Recommended Citation
Alshammari, Muteb and Rezgui, Abdelmounaam, "A single-source shortest path algorithm for dynamic graphs" (2020). Faculty Publications - Information Technology. 6.
https://ir.library.illinoisstate.edu/fpitech/6
Comments
First published in AKCE International Journal of Graphs and Combinatorics, 17:3, 1063-1068. https://doi.org/10.1016/j.akcej.2020.01.002.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.