“Statistical mechanics taught us that intensive, systemsize-independent quantities offer some of the best measures of a system’s internal characteristics.” This quote from the article is interesting to pick at because it is basically saying that with the knowledge of what is already known, an independent quality of something can be used for a system’s own features.
It was interesting to see how in the article “Taming Complexity”, the importance of a singular molecule or in this case a singular part of an entire network is magnified at a great scale. The article also speaks about how there are some networks that are more liberating to use than on a few others. There is also the discussion on large web based networks like Google and it’s immediate success with millions of people around the world by providing in seconds results for whatever the individuals searching needs. As well as providing networks that use social media for numerous services like dating apps, social media platforms, transportation/eating services and more. It was also interesting to see how for scientists that would want to thoroughly research “ fundamental properties of networks and complex systems” would need to “sell themselves as single-discipline-based players, convincing either the physics community that their research is physics or the biology establishment that network science is all about biology.” as well.
It was also interesting to hear from Anna Nagurney how communication networks, transportation networks, manufacturing networks, energy networks and more, need to be dealt with to have the qualities of nodes and links to makeup the finished product.
