Exploring a digital ecosystem conceptual model and its simulation prototype

Wu, Chen; Chang, Elizabeth

doi:10.1109/ISIE.2007.4375080

116476_Exploring%20a%20digital%20ecosystem%20PID%20116476.pdf (2.940Mb)

Access Status

Open access

Authors

Wu, Chen

Chang, Elizabeth

Date

2007

Type

Conference Paper

Metadata

Show full item record

Citation

Wu, Chen and Chang, Elizabeth. 2007. Exploring a digital ecosystem conceptual model and its simulation prototype, in Garcia-Franquelo, L. (ed), IEEE International Symposium on Industrial Electronics (ISIE 2007), Jul 4 2007, pp. 2933-2938. Vigo, Spain: Institute of Electrical and Electronics Engineers (IEEE).

Source Title

Proceedings of the 2007 IEEE international symposium on industrial electronics

Source Conference

IEEE International Symposium on Industrial Electronics (ISIE 2007)

DOI

10.1109/ISIE.2007.4375080

ISBN

9781424407552

Faculty

Curtin Business School

Centre for Extended Enterprises and Business Intelligence

School of Information Systems

Remarks

Copyright © 2007 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/38751

Collection

Curtin Research Publications

Abstract

Digital ecosystems (DES) transcend the traditional rigorously defined collaborative environments from centralised or distributed or hybrid models into an open, flexible, domain cluster, demand-driven interactive environment. A digital ecosystem is new-networked architecture and collaborative environment that addresses the weakness of client-server, peer-to- peer and Web services. In this paper, we firstly introduce a conceptual model of DES. The design and implementation of a DES simulation is then presented to illustrate some fundamental characteristics for further DES study. Finally, we propose a novel approach to realise the DES built on top of the social software (SS) and swarm intelligence.