Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43714
Title: The small-world phenomenon: a model, explanations, characterizations, and examples
Authors: EGGHE, Leo 
ROUSSEAU, Ronald 
Issue Date: 2024
Publisher: SPRINGER
Source: Scientometrics (Print),
Status: Early view
Abstract: We introduce and define three types of small worlds: small worlds based on the diameter of the network (SWD), those based on the average geodesic distance between nodes (SWA), and those based on the median geodesic distance (SWMd). These types of networks are defined as limiting properties of sequences of sets. We show the exact relation between these three types, namely that each SWD network is also an SWA network and that each SWA network is also an SWMd network. Yet, having the small-world property is a phenomenon that can easily occur in the sense that most networks are small-world networks in one of the three ways. We introduce sequences of distance frequencies, so-called alpha-sequences, and prove a relation between the majorization property between alpha-sequences and small-world properties.
Notes: Rousseau, R (corresponding author), Katholieke Univ Leuven, MSI, Facultair Onderzoekscentrum ECOOM, Naamsestr 61, B-3000 Louvain, Belgium.; Rousseau, R (corresponding author), Univ Antwerp, Fac Social Sci, Dept Sociol, Middelheimlaan 1, B-2020 Antwerp, Belgium.
leo.egghe@uhasselt.be; ronald.rousseau@kuleuven.be
Keywords: Small-world phenomena;Six degrees of separation;Alpha-sequences;Majorization
Document URI: http://hdl.handle.net/1942/43714
ISSN: 0138-9130
e-ISSN: 1588-2861
DOI: 10.1007/s11192-024-05119-8
ISI #: 001286379300002
Rights: Akadémiai Kiadó, Budapest, Hungary 2024
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
s11192-024-05119-8.pdf
  Restricted Access
Early view1.37 MBAdobe PDFView/Open    Request a copy
ACFrOgBBv96nMGffKnK0A0CHhD0my6BygMIEknt29hpbK78cBmWYXvdDsFIHWWhP.pdf
  Until 2025-08-08
Peer-reviewed author version264.01 kBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.