Connectivity for random graphs from a weighted bridge-addable class

There has been much recent interest in random graphs sampled uniformly from the n-vertex graphs in a suitable structured class, such as the class of all planar graphs. Here we consider a general 'bridge-addable' class of graphs - if a graph is in the class and u and v are vertices in diffe...

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المؤلف الرئيسي: McDiarmid, C
التنسيق: Journal article
اللغة:English
منشور في: 2012
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author McDiarmid, C
author_facet McDiarmid, C
author_sort McDiarmid, C
collection OXFORD
description There has been much recent interest in random graphs sampled uniformly from the n-vertex graphs in a suitable structured class, such as the class of all planar graphs. Here we consider a general 'bridge-addable' class of graphs - if a graph is in the class and u and v are vertices in different components then the graph obtained by adding an edge (bridge) between u and v must also be in the class. Various bounds are known concerning the probability of a random graph from such a class being connected or having many components, sometimes under the additional assumption that bridges can be deleted as well as added. Here we improve or amplify or generalise these bounds. For example, we see that the expected number of vertices left when we remove a largest component is less than 2. The generalisation is to consider 'weighted' random graphs, sampled from a suitable more general distribution, where the focus is on the bridges.
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spelling oxford-uuid:5e75d79d-747d-4cf2-9d6b-fc34c9d7bc892022-03-26T17:40:58ZConnectivity for random graphs from a weighted bridge-addable classJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5e75d79d-747d-4cf2-9d6b-fc34c9d7bc89EnglishSymplectic Elements at Oxford2012McDiarmid, CThere has been much recent interest in random graphs sampled uniformly from the n-vertex graphs in a suitable structured class, such as the class of all planar graphs. Here we consider a general 'bridge-addable' class of graphs - if a graph is in the class and u and v are vertices in different components then the graph obtained by adding an edge (bridge) between u and v must also be in the class. Various bounds are known concerning the probability of a random graph from such a class being connected or having many components, sometimes under the additional assumption that bridges can be deleted as well as added. Here we improve or amplify or generalise these bounds. For example, we see that the expected number of vertices left when we remove a largest component is less than 2. The generalisation is to consider 'weighted' random graphs, sampled from a suitable more general distribution, where the focus is on the bridges.
spellingShingle McDiarmid, C
Connectivity for random graphs from a weighted bridge-addable class
title Connectivity for random graphs from a weighted bridge-addable class
title_full Connectivity for random graphs from a weighted bridge-addable class
title_fullStr Connectivity for random graphs from a weighted bridge-addable class
title_full_unstemmed Connectivity for random graphs from a weighted bridge-addable class
title_short Connectivity for random graphs from a weighted bridge-addable class
title_sort connectivity for random graphs from a weighted bridge addable class
work_keys_str_mv AT mcdiarmidc connectivityforrandomgraphsfromaweightedbridgeaddableclass