Publication:
Analytical solution of a stochastic content-based network model

dc.contributor.coauthorMungan, M
dc.contributor.coauthorBalcan, D
dc.contributor.coauthorErzan, A
dc.contributor.departmentDepartment of Physics
dc.contributor.kuauthorKabakçıoğlu, Alkan
dc.contributor.schoolcollegeinstituteCollege of Sciences
dc.date.accessioned2024-11-09T22:48:44Z
dc.date.issued2005
dc.description.abstractWe define and completely solve a content-based directed network whose nodes consist of random words and an adjacency rule involving perfect or approximate matches for an alphabet with an arbitrary number of letters. The analytic expression for the out-degree distribution shows a crossover from a leading power law behaviour to a log-periodic regime bounded by a different power law decay. The leading exponents in the two regions have a weak dependence on the mean word length, and an even weaker dependence on the alphabet size. The in-degree distribution, on the other hand, is much narrower and does not show any scaling behaviour.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue44
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume38
dc.identifier.doi10.1088/0305-4470/38/44/001
dc.identifier.issn0305-4470
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-27144540921
dc.identifier.urihttps://doi.org/10.1088/0305-4470/38/44/001
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6380
dc.identifier.wos233465800004
dc.keywordsStochastic content
dc.keywordsNetwork model
dc.language.isoeng
dc.publisherIop Publishing
dc.relation.ispartofJournal of Physics A: Mathematical and General
dc.subjectPhysics
dc.subjectMathematical physics
dc.titleAnalytical solution of a stochastic content-based network model
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKabakçıoğlu, Alkan
local.publication.orgunit1College of Sciences
local.publication.orgunit2Department of Physics
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