Two network transformations

Loading...
Thumbnail Image
Date
2019
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky
Altmetrics
Abstract
In this paper, we study relational networks. They may be as large as socialnetworks or as small as neural networks. We employ the concepts of closure andclosure operators to describe their structures, and introduce the idea of functionaltransformation to model their dynamic qualities.One transformation,ω, reduces a complex network to a much simpler form, yetpreserves important properties such as path connectivity and centrality measures.The other transformation,ε, expands a network by using grammar-like productions.Both are continuous (with respect to closure) and we show thatεis effectivelyω−1in thatω·ε·ω=ω.It is thought thatωmay model human memory consolidation and thatεmaymodel memory reconstruction.
Description
Keywords
Citation
Mathematics for Applications. 2019 vol. 8, č. 1, s. 79-96. ISSN 1805-3629
http://ma.fme.vutbr.cz/archiv/8_1/ma_8_1_pfaltz_final.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky
Collections
Citace PRO