Evolution-generated communications in digital business ecosystem

Juan Wang, Philippe De Wilde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper discusses a new approach to model a complex evolving system, a Digital Business Ecosystem (DBE). We present a geography-based two coupled networks model. The upper layer is the business network layer regarded as an information ecosystem with multiple evolving agents. The lower layer is the underlying P2P communication layer to support communications. The two networks in the system are modelled as evolving over time and interacting with each other. In the business ecosystem, agents exchange services with each other. Through evolution processes, fit services reproduce and weak services die out. We study how these evolution-generated communications affect the topologies of both the business network and the underlying communication network and also system performance. We provide the details of the discrete event simulation and discusses the experimental results. The approach in this paper can be applied to model and analyze other complex real-world applications as our previous work [1]. © 2008 IEEE.

Original languageEnglish
Title of host publication2008 IEEE Conference on Cybernetics and Intelligent Systems
PublisherIEEE
Pages618 - 623
Number of pages6
ISBN (Electronic)978-1-4244-1674-5
ISBN (Print)978-1-4244-1673-8
DOIs
Publication statusPublished - 2008
Event2008 IEEE Conference on Cybernetics and Intelligent Systems - Chengdu, China
Duration: 21 Sep 200824 Sep 2008

Conference

Conference2008 IEEE Conference on Cybernetics and Intelligent Systems
Abbreviated titleCIS 2008
CountryChina
CityChengdu
Period21/09/0824/09/08

Keywords

  • Agent-based modeling
  • Business ecosystem
  • Evolutionary communications

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  • Cite this

    Wang, J., & De Wilde, P. (2008). Evolution-generated communications in digital business ecosystem. In 2008 IEEE Conference on Cybernetics and Intelligent Systems (pp. 618 - 623). IEEE. https://doi.org/10.1109/ICCIS.2008.4670899