Haslegrave, J., Jordan, J. orcid.org/0000-0003-4686-5440 and Yarrow, M. orcid.org/0000-0002-4166-8037 (2025) Competing types in preferential attachment graphs with community structure. Electronic Journal of Probability, 30. 90. ISSN 1083-6489
Abstract
We extend the two-type preferential attachment model of Antunović, Mossel and Rácz, where each new vertex takes its type according to a defined rule based on the types of its neighbours, to incorporate community structure, and investigate whether the proportions of vertices of each type synchronise between communities. The behaviour depends both on the choice of community structure and on the type assignment rule.
For essentially all cases where the single community model has more than one possible limit, communities may fail to synchronise for weakly interacting communities. Even when the single community model almost surely converges to a deterministic limit, synchronisation is not guaranteed. However, we give natural conditions on the assignment rule and, for two communities, on the structure, either of which will imply synchronisation to this limit, and each of which is essentially best possible.
We also give an example where the proportions of types almost surely do not converge, which is impossible in the single community model.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License. (http://creativecommons.org/licenses/by/4.0/) |
Keywords: | preferential attachment; vertex types; community structure; coexistence; random graphs |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jun 2025 10:43 |
Last Modified: | 06 Jun 2025 10:43 |
Status: | Published |
Publisher: | Institute of Mathematical Statistics |
Refereed: | Yes |
Identification Number: | 10.1214/25-ejp1353 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227526 |