Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4945118 | Information Systems | 2017 | 35 Pages |
Abstract
In this paper, we formulate a novel question on maximum flow queries. Specifically, this problem aims to find which k edges would have the largest impact on a maximum flow query on a network. This problem has important applications in areas like social network and network planning. We show the inapproximability of the problems and present our heuristic algorithms. Experimental evaluations are carried out on real datasets and results show that our algorithms are scalable and return high quality solutions.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Petrie Wong, Cliz Sun, Eric Lo, Man Lung Yiu, Xiaowei Wu, Zhichao Zhao, T.-H. Hubert Chan, Ben Kao,