Spatial growth of real-world networks

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Spatial growth of real-world networks. / Kaiser, Marcus; Hilgetag, Claus C.

In: PHYS REV E, Vol. 69, No. 3 Pt 2, 03.2004, p. 036103.

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@article{91b20e340c7e40dd91d2e6bf2fb43c0a,
title = "Spatial growth of real-world networks",
abstract = "Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path. They may also show a scale-free degree distribution, which can be generated by growth and preferential attachment to highly connected nodes, or hubs. However, many real-world networks consist of multiple, interconnected clusters not normally seen in systems grown by preferential attachment, and there also exist real-world networks with a scale-free degree distribution that do not contain highly connected hubs. We describe spatial-growth mechanisms, not using preferential attachment, that address both aspects.",
keywords = "Journal Article",
author = "Marcus Kaiser and Hilgetag, {Claus C}",
year = "2004",
month = mar,
doi = "10.1103/PhysRevE.69.036103",
language = "English",
volume = "69",
pages = "036103",
journal = "PHYS REV E",
issn = "2470-0045",
publisher = "American Physical Society",
number = "3 Pt 2",

}

RIS

TY - JOUR

T1 - Spatial growth of real-world networks

AU - Kaiser, Marcus

AU - Hilgetag, Claus C

PY - 2004/3

Y1 - 2004/3

N2 - Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path. They may also show a scale-free degree distribution, which can be generated by growth and preferential attachment to highly connected nodes, or hubs. However, many real-world networks consist of multiple, interconnected clusters not normally seen in systems grown by preferential attachment, and there also exist real-world networks with a scale-free degree distribution that do not contain highly connected hubs. We describe spatial-growth mechanisms, not using preferential attachment, that address both aspects.

AB - Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path. They may also show a scale-free degree distribution, which can be generated by growth and preferential attachment to highly connected nodes, or hubs. However, many real-world networks consist of multiple, interconnected clusters not normally seen in systems grown by preferential attachment, and there also exist real-world networks with a scale-free degree distribution that do not contain highly connected hubs. We describe spatial-growth mechanisms, not using preferential attachment, that address both aspects.

KW - Journal Article

U2 - 10.1103/PhysRevE.69.036103

DO - 10.1103/PhysRevE.69.036103

M3 - SCORING: Journal article

C2 - 15089357

VL - 69

SP - 036103

JO - PHYS REV E

JF - PHYS REV E

SN - 2470-0045

IS - 3 Pt 2

ER -