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Social Network Simulation and Self-Organisation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kurz, Thomas Passani, Antonella Heistracher, Thomas |
| Copyright Year | 2007 |
| Abstract | Inception, analysis, conceptualisation, specification and evolutionary implementation and boot-strapping of a Digital Business Ecosystem (DBE) infrastructure need systematic integration of the key-domains of Business, Computing, Science and Socio-economics (Linthicum et al., 2003). Thus it represents a paramount challenge in communication and collaboration efforts to jointly optimise and develop further this distributed infrastructure that is based on knowledge and research outcomes from all the above-mentioned disciplines. In the following we present an effective means of collaboration by introducing a simulation framework called Evolutionary Environment Simulator (EVESIM; Kurz et al, 2006) that offers a modularised framework where different stakeholders can collaborate by plugging in modules into EVESIM and by utilising modules of other stakeholders. Besides the potential of making benefits of DBE visible amongst all stakeholders, EVESIM acts as important building block for the conceptual study of the intrinsic optimisation potential of the DBE. It offers pre-flight features for further steps in conceptual and technical development and it makes it possible to adjust technical aspects of the infrastructure based on hypothesis testing and prior emulation. Also the demonstration of specific boot-strapping behaviour and the visualisation of social science research’s results and convincing forecasts for potential future DBE users and organizations are at scope of this simulation framework. In principle, the development of evolutionary algorithms and the analysis of social networks could be performed independently, thereby, however, excluding any potential of mutual benefits. In this aspect, the EVESIM can be considered a kind of ‘middleware’ between the Natural Science and Social Science domain. The EVESIM is the software simulation framework which facilitates the communication between the Natural and Social Science “applications” that possibly base on identical meta-concepts. That does not mean that EVESIM solves all issues of communication but it is a starting point of how different areas of science can effectively collaborate and take advantage of each other. We discuss in the following the issues in the context of Social Science and Natural Science and detail the Evolutionary Environment Simulator itself. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.digital-ecosystems.org/book/pdf/2.7.pdf |
| Alternate Webpage(s) | http://www.digital-ecosystems.org/book/pdf/3.7.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
