
doi: 10.1002/net.20440
handle: 2027.42/91329
AbstractThe matching preclusion number of a graph is the minimum number of edges whose deletion results in a graph that has neither perfect matchings nor almost‐perfect matchings. For many interconnection networks, the optimal sets are precisely those induced by a single vertex. Recently, the conditional matching preclusion number of a graph was introduced to look for obstruction sets beyond those induced by a single vertex. This number is defined to be the minimum number of edges whose deletion results in a graph with no isolated vertices that has neither perfect matchings nor almost‐perfect matchings. In this article, we prove general results regarding the matching preclusion number and the conditional matching preclusion number as well as the classification of their respective optimal sets for bipartite graphs. © 2011 Wiley Periodicals, Inc. NETWORKS, 2011
Interconnection Networks, Network design and communication in computer systems, bipartite graphs, Economics, perfect matching, Perfect Matching, Industrial and Operations Engineering, Management, Graphs and abstract algebra (groups, rings, fields, etc.), Engineering, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Graph theory (including graph drawing) in computer science, Bipartite Graphs, Business, Small world graphs, complex networks (graph-theoretic aspects), interconnection networks
Interconnection Networks, Network design and communication in computer systems, bipartite graphs, Economics, perfect matching, Perfect Matching, Industrial and Operations Engineering, Management, Graphs and abstract algebra (groups, rings, fields, etc.), Engineering, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Graph theory (including graph drawing) in computer science, Bipartite Graphs, Business, Small world graphs, complex networks (graph-theoretic aspects), interconnection networks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 39 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
