Latent voter model on locally tree-like random graphs

dc.contributor.author

Huo, R

dc.contributor.author

Durrett, R

dc.date.accessioned

2018-10-21T02:43:00Z

dc.date.available

2018-10-21T02:43:00Z

dc.date.issued

2018-05

dc.date.updated

2018-10-21T02:42:59Z

dc.description.abstract

© 2017 Elsevier B.V. In the latent voter model, individuals who have just changed their choice have a latent period, which is exponential with rate λ, during which they will not change their opinion. We study this model on random graphs generated by a configuration model with degrees 3≤d(x)≤M. We show that if the number of vertices n→∞ and logn≪λn≪n then there is a quasi-stationary state in which each opinion has probability ≈1∕2 and persists in this state for a time that is ≥nmfor any m<∞.

dc.identifier.issn

0304-4149

dc.identifier.uri

https://hdl.handle.net/10161/17595

dc.publisher

Elsevier BV

dc.relation.ispartof

Stochastic Processes and their Applications

dc.relation.isversionof

10.1016/j.spa.2017.08.004

dc.title

Latent voter model on locally tree-like random graphs

dc.type

Journal article

pubs.begin-page

1590

pubs.end-page

1614

pubs.issue

5

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Duke

pubs.organisational-group

Mathematics

pubs.organisational-group

Student

pubs.publication-status

Published

pubs.volume

128

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