Characterising heavy-tailed networks using q-generalised entropy and q-adjacency kernels

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	125666
Journal	Physica A: Statistical Mechanics and its Applications
Volume	566
Number of pages	13
ISSN	0378-4371
DOIs	https://doi.org/10.1016/j.physa.2020.125666
Publication status	Published - 15 Mar 2021
MoE publication type	A1 Journal article-refereed

Fields of Science

@article{66077451516c413caeaf2005ab1d8b2e,

title = "Characterising heavy-tailed networks using q-generalised entropy and q-adjacency kernels",

keywords = "Heavy tailed networks, Adjacency kernels, q-entropy, Generalised thermodynamics, GRAPH ENTROPY, CENTRALITY, 114 Physical sciences",

author = "Koponen, {Ismo T.} and Elina Palmgren and Esko Keski-Vakkuri",

year = "2021",

month = mar,

day = "15",

doi = "10.1016/j.physa.2020.125666",

language = "English",

volume = "566",

journal = "Physica A: Statistical Mechanics and its Applications",

issn = "0378-4371",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Characterising heavy-tailed networks using q-generalised entropy and q-adjacency kernels

AU - Koponen, Ismo T.

AU - Palmgren, Elina

AU - Keski-Vakkuri, Esko

PY - 2021/3/15

Y1 - 2021/3/15

KW - Heavy tailed networks

KW - Adjacency kernels

KW - q-entropy

KW - Generalised thermodynamics

KW - GRAPH ENTROPY

KW - CENTRALITY

KW - 114 Physical sciences

U2 - 10.1016/j.physa.2020.125666

DO - 10.1016/j.physa.2020.125666

M3 - Article

SN - 0378-4371

VL - 566

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

M1 - 125666

ER -