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Help
If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Networks are ubiquitous. We are all part of numerous social networks: at home in our family, at work with our colleagues and many others. Moreover, every day each of us relies on a variety of technological networks by using mobile phone, the WWW, public transport, etc. Any system where entities interact with each other is a network. Understanding the basic functional principles and the factors governing the evolution of the networks around us is a task of immense importance. Then, this will allow us to interact more efficiently within social networks and will open a new horizon for optimization of many existing technological systems. The main contribution of this work is to reveal the interplay between dynamic function and local structures, also called network motifs, in complex networks. Then, to shift that knowledge on dynamic selforganizing humanmade networks and to deploy motif based optimization of P2P overlays as well as to present a novel approach for resilient P2P livestreaming. It also engages a local decision rule to detect communication bottlenecks in distributed environments and shows that random graphs are a suitable basis for a novel P2P overlay.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
