The coevolution of individual economic characteristics and socioeconomic networks

Dietrich Stauffer; Martin Hohnisch; Sabine Pittnauer

doi:10.1016/j.physa.2006.05.033

The coevolution of individual economic characteristics and socioeconomic networks

Dietrich Stauffer^*
, Martin Hohnisch
, Sabine Pittnauer

^*Corresponding author for this work

Publication: Scientific journal › Journal article › peer-review

Abstract

The dynamics of individual characteristics of economic agents is modeled with the link structure influenced by this dynamics: links between agents with similar characteristics are more stable than those between agents with vastly different characteristics. A simple scaling law describes the number of distinct surviving characteristic realizations as a function of the number of agents and the number of possible distinct characteristics realizations. With the chosen specification, the investigated properties do not essentially differ from those found for analogous sociophysics models with a fixed network structure.

Original language	English
Pages (from-to)	734-740
Number of pages	7
Journal	Physica A: Statistical Mechanics and its Applications
Volume	370
Issue number	2
DOIs	https://doi.org/10.1016/j.physa.2006.05.033
Publication status	Published - 15 Oct 2006
Externally published	Yes

Bibliographical note

Funding Information:
MH gratefully acknowledges financial support from DFG grant TR 120/12-1, DS that from COST P10 of the European Science Foundation.

Keywords

Coevolution
Social dynamics
Social networks

Access to Document

10.1016/j.physa.2006.05.033

Cite this

@article{433324af304b433e8ebc22f8aa18da63,

title = "The coevolution of individual economic characteristics and socioeconomic networks",

abstract = "The dynamics of individual characteristics of economic agents is modeled with the link structure influenced by this dynamics: links between agents with similar characteristics are more stable than those between agents with vastly different characteristics. A simple scaling law describes the number of distinct surviving characteristic realizations as a function of the number of agents and the number of possible distinct characteristics realizations. With the chosen specification, the investigated properties do not essentially differ from those found for analogous sociophysics models with a fixed network structure.",

keywords = "Coevolution, Social dynamics, Social networks",

author = "Dietrich Stauffer and Martin Hohnisch and Sabine Pittnauer",

note = "Funding Information: MH gratefully acknowledges financial support from DFG grant TR 120/12-1, DS that from COST P10 of the European Science Foundation.",

year = "2006",

month = oct,

day = "15",

doi = "10.1016/j.physa.2006.05.033",

language = "English",

volume = "370",

pages = "734--740",

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

issn = "0378-4371",

publisher = "Elsevier B.V.",

number = "2",

}

TY - JOUR

T1 - The coevolution of individual economic characteristics and socioeconomic networks

AU - Stauffer, Dietrich

AU - Hohnisch, Martin

AU - Pittnauer, Sabine

N1 - Funding Information: MH gratefully acknowledges financial support from DFG grant TR 120/12-1, DS that from COST P10 of the European Science Foundation.

PY - 2006/10/15

Y1 - 2006/10/15

N2 - The dynamics of individual characteristics of economic agents is modeled with the link structure influenced by this dynamics: links between agents with similar characteristics are more stable than those between agents with vastly different characteristics. A simple scaling law describes the number of distinct surviving characteristic realizations as a function of the number of agents and the number of possible distinct characteristics realizations. With the chosen specification, the investigated properties do not essentially differ from those found for analogous sociophysics models with a fixed network structure.

AB - The dynamics of individual characteristics of economic agents is modeled with the link structure influenced by this dynamics: links between agents with similar characteristics are more stable than those between agents with vastly different characteristics. A simple scaling law describes the number of distinct surviving characteristic realizations as a function of the number of agents and the number of possible distinct characteristics realizations. With the chosen specification, the investigated properties do not essentially differ from those found for analogous sociophysics models with a fixed network structure.

KW - Coevolution

KW - Social dynamics

KW - Social networks

U2 - 10.1016/j.physa.2006.05.033

DO - 10.1016/j.physa.2006.05.033

M3 - Journal article

AN - SCOPUS:33748325773

SN - 0378-4371

VL - 370

SP - 734

EP - 740

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

IS - 2

ER -