|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Deleting Edges to Restrict the Size of an Epidemic: A New Application for Treewidth|
|Citation:||Enright J & Meeks K (2015) Deleting Edges to Restrict the Size of an Epidemic: A New Application for Treewidth, Lu Z, Kim D, Wu W, Li W, Du D-Z (ed.) Combinatorial Optimization and Applications: 9th International Conference, COCOA 2015, Houston, TX, USA, December 18-20, 2015, Proceedings, Combinatorial Optimization and Applications - 9th International Conference, Houston, Texas, 18.12.2015 - 20.12.2015, Cham, Switzerland: Springer, pp. 574-585.|
|Series/Report no.:||Lecture Notes in Computer Science, 0302-9743|
|Conference Name:||Combinatorial Optimization and Applications - 9th International Conference|
|Conference Location:||Houston, Texas|
|Abstract:||Motivated by applications in network epidemiology, we consider the problem of determining whether it is possible to delete at most k edges from a given input graph (of small treewidth) so that the maximum component size in the resulting graph is at most h. While this problem is NP-complete in general, we provide evidence that many of the real-world networks of interest are likely to have small treewidth, and we describe an algorithm which solves the problem in time O((wh)2wn) on an input graph having n vertices and whose treewidth is bounded by a fixed constant w.|
|Status:||Book Chapter: author post-print (pre-copy editing)|
|Rights:||Publisher policy allows this work to be made available in this repository; The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-26626-8_42|
|Affiliation:||Mathematics - CSM Dept|
University of Glasgow
|EnrightMeeksCOCOA2015_final.pdf||327.65 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.