Обсуждение:Наука о сетях

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Networks of different kinds are woven into our social fabric. In the physical sphere, we have the air-transportation network, highways, railroads, the global shipping network, power grids, water distribution networks, supply networks, global financial networks, telephone systems, and the Internet. In the biological arena, there are gene expression networks, metabolic networks, herds, food webs, river basins, and the ecological web. In the social domain, networks include governments, businesses, universities, and various online social networks such as Facebook, LinkedIn, and Twitter. Communication and transportation networks drive the global economy. Networks have spurred the growth of modern businesses from search engines such as Google to social networks such as Facebook and Twitter. All these networks depend, generate and derive large amounts of data as well as critical information. There is an increasing need for trained scientists that can design control strategies for large networks, validate data-driven hypotheses, predict the dynamics of information cascades, design algorithms that operate at large scales, and understand the governing laws needed to make such networks robust
 
Networks of different kinds are woven into our social fabric. In the physical sphere, we have the air-transportation network, highways, railroads, the global shipping network, power grids, water distribution networks, supply networks, global financial networks, telephone systems, and the Internet. In the biological arena, there are gene expression networks, metabolic networks, herds, food webs, river basins, and the ecological web. In the social domain, networks include governments, businesses, universities, and various online social networks such as Facebook, LinkedIn, and Twitter. Communication and transportation networks drive the global economy. Networks have spurred the growth of modern businesses from search engines such as Google to social networks such as Facebook and Twitter. All these networks depend, generate and derive large amounts of data as well as critical information. There is an increasing need for trained scientists that can design control strategies for large networks, validate data-driven hypotheses, predict the dynamics of information cascades, design algorithms that operate at large scales, and understand the governing laws needed to make such networks robust
 
Сети разных видов вплетены в нашу социальную ткань:
 
* В физической сфере у нас есть воздушно-транспортной сети, автомобильных дорог, железных дорог, глобальная доставка сети, электросети, водопроводные сети, сети питания, глобальные финансовые сети, телефонные сети, и Интернет.
 
* В биологической сфере есть сеть экспрессии генов, сети метаболизма, стаи, пищевые цепи, речные бассейны, а также экологический веб.
 
* В социальной сфере, сети включают в себя правительства, деловые круги, университеты, а также различные онлайновые социальные сети, такие как Facebook, LinkedIn и Twitter.
 
* Связь и транспортные сети управлять глобальной экономики. Сети стимулировали рост современного бизнеса с поисковых систем, таких как Google в социальных сетях, таких как Facebook и Twitter.
 
 
Все эти сети зависят, генерировать и выводить большие объемы данных, а также критически важной информации.
 
Существует растущая потребность в квалифицированных ученых, которые могут разработать стратегии управления для крупных сетей, проверка гипотез, управляемых данными, предсказать динамику информационных каскадов, алгоритмов проектирования, которые работают на больших масштабах, и понять, регулирующие законы, необходимые, чтобы сделать такие сети надежными
 
  
 
* http://networkscience.igert.ucsb.edu/
 
* http://networkscience.igert.ucsb.edu/

Текущая версия на 14:59, 5 ноября 2019

Networks of different kinds are woven into our social fabric. In the physical sphere, we have the air-transportation network, highways, railroads, the global shipping network, power grids, water distribution networks, supply networks, global financial networks, telephone systems, and the Internet. In the biological arena, there are gene expression networks, metabolic networks, herds, food webs, river basins, and the ecological web. In the social domain, networks include governments, businesses, universities, and various online social networks such as Facebook, LinkedIn, and Twitter. Communication and transportation networks drive the global economy. Networks have spurred the growth of modern businesses from search engines such as Google to social networks such as Facebook and Twitter. All these networks depend, generate and derive large amounts of data as well as critical information. There is an increasing need for trained scientists that can design control strategies for large networks, validate data-driven hypotheses, predict the dynamics of information cascades, design algorithms that operate at large scales, and understand the governing laws needed to make such networks robust

  • Network Science: Methods and Applications http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/ It is often the case that complex systems, both living and man-made, can be represented as static or dynamic networks of many interacting components. These components are typically much simpler in terms of behavior or function than the overall system, implying that the additional complexity of the latter is an emergent network property.

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