NDLI: Evolution-generated communications in Digital Business Ecosystem

Content Provider	IEEE Xplore Digital Library
Author	Wang, J. De Wilde, P.
Copyright Year	2008
Description	Author affiliation: Sch. of Math. & Comput. Sci., Heriot-Watt Univ., Edinburgh (De Wilde, P.) \|\| Coll. of Inf. Eng., Shenzhen Univ., Shenzhen (Wang, J.)
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].
Starting Page	618
Ending Page	623
File Size	401863
Page Count	6
File Format	PDF
ISBN	9781424416738
DOI	10.1109/ICCIS.2008.4670899
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Business communication Ecosystems Network topology Communication networks Educational institutions Mathematical model System performance Discrete event simulation Organisms Open source software Business ecosystem Evolutionary communications Agent-based modeling
Content Type	Text
Resource Type	Article

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