Researchers at the Universitat Politècnica de Catalunya (UPC) and the University of Barcelona (UB) published a paper in Nature Communications presenting a scientific method for identifying, comparing and precisely determining objective differences between large nodes of complex networks. The new method makes it possible, for example, to compare and differentiate the functioning of brain networks in drug addicts and healthy individuals, thus advancing the study of the symptoms and effects of addiction on the brain. The method can also be used to more effectively analyze the functioning of critical complex systems, such as power distribution networks, airport connections and even social networks like Facebook and Twitter. Researcher Cristina Masoller explained the advantages of the new approach: "Imagine you have a power distribution system consisting of two interconnected networks, each with the same number of links, and one network loses a link because of a breakdown. With the methods we've had up until now, it's only been possible to determine the difference due to that missing link. With our method, we can also determine the precise location of the lost link and its importance in relation to the system—that is, whether its absence will significantly hinder the distribution of power." Read more at https://phys.org/news/2017-02-scientists-high-precision-method-analysing-functioning.html
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