Evolutionary dynamics of business networks

Terry Bossomaier; Mike Harre; Denise Jarratt

doi:10.1109/CEC.2010.5586555

Evolutionary dynamics of business networks

Terry Bossomaier
, Mike Harre
, Denise Jarratt

School of Business

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Business networks about in the current economic world but are surprisingly difficult to study. Ties between organisations occur in many ways and are ofen confidential or, at least, not made explicit. Thus we develop a minimalist model of network formation and study the evoluton of strategies of firms in obtaining maximum returns from a set of markets.

Original language	English
Title of host publication	Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010), July 18-23, 2010, Barcelona, Spain
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781424469109
DOIs	https://doi.org/10.1109/CEC.2010.5586555
Publication status	Published - 2010
Event	Congress on Evolutionary Computation - Duration: 18 Jul 2010 → …

Conference

Conference	Congress on Evolutionary Computation
Period	18/07/10 → …

Keywords

business networks
company formation
dynamics
markets

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10.1109/CEC.2010.5586555

Cite this

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title = "Evolutionary dynamics of business networks",

abstract = "Business networks about in the current economic world but are surprisingly difficult to study. Ties between organisations occur in many ways and are ofen confidential or, at least, not made explicit. Thus we develop a minimalist model of network formation and study the evoluton of strategies of firms in obtaining maximum returns from a set of markets.",

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booktitle = "Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010), July 18-23, 2010, Barcelona, Spain",

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AU - Harre, Mike

AU - Jarratt, Denise

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N2 - Business networks about in the current economic world but are surprisingly difficult to study. Ties between organisations occur in many ways and are ofen confidential or, at least, not made explicit. Thus we develop a minimalist model of network formation and study the evoluton of strategies of firms in obtaining maximum returns from a set of markets.

AB - Business networks about in the current economic world but are surprisingly difficult to study. Ties between organisations occur in many ways and are ofen confidential or, at least, not made explicit. Thus we develop a minimalist model of network formation and study the evoluton of strategies of firms in obtaining maximum returns from a set of markets.

KW - business networks

KW - company formation

KW - dynamics

KW - markets

UR - http://handle.uws.edu.au:8081/1959.7/uws:29926

UR - http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=15441

U2 - 10.1109/CEC.2010.5586555

DO - 10.1109/CEC.2010.5586555

M3 - Conference Paper

SN - 9781424469109

BT - Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010), July 18-23, 2010, Barcelona, Spain

PB - IEEE

T2 - Congress on Evolutionary Computation

Y2 - 18 July 2010

ER -

Evolutionary dynamics of business networks

Abstract

Conference

Keywords

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