Folks who have been in event processing fields like network management (NMS) or security management for many years have a very high expectation for processing complex events. Most of the network and security management platforms on the market have basic rule-based processing available “out of the box” and most of these platforms have had the capability to process events in near-real time for decades. Adding a new “rules-based event processing platform” to the network and security management software mix does little to add any additional capability and certainly does not solve any nagging complex detection problems.
The Complex Systems Registry is an Open Source federative platform that has been developed within the FET coordination action Open Network of Centres of Excellence in Complex Systems (ONCE-CS) within the framework of the Complex Systems Society.
The aims of this initiative are
* to become the main Information Hub for the Complex Systems Community,
* to offer pre-installed Web facilities to all institutions, projects, working groups, ... of the Complex Systems Community,
* to guarantee the inter-operability between all installed Web sites.
Представлен обзор результатов, идей и методов, связанных со сложными сетями. Рассмотрены две связанные проблемы:
- структурный фазовый переход в архитектуре сетей;
- переходы в кооперативных моделях сетей, как субстрат (?).
Рассмотрены эффекты самоорганизации во взаимодействующих системах в сетях.
VisualComplexity.com intends to be a unified resource space for anyone interested in the visualization of complex networks. The project's main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web.
Statistical mechanics of complex networks
Authors: Reka Albert, Albert-Laszlo Barabasi
Comments: 54 pages, submitted to Reviews of Modern Physics
Subj-class: Statistical Mechanics; Disordered Systems and Neural Networks; Mathematical Physics; Data Analysis, Statistics and Probability; Adaptation and Self-Organizing Systems; Networking and Internet Architecture
Journal-ref: Reviews of Modern Physics 74, 47 (2002)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
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