Dynamics in Complex Networks
Computers connected in Internet, animal species bounded by food chains, individuals in relation: technology, nature and society are based on complex architectures of relations.
Some times, surprising stories happen in these scenaries. In 2003, the virus SQL Slammer disabled tens of thousands of computers in no more than ten minutes. In 1911, the prohibition to hunt sea beavers in California generated a domino-effect that benefited other species and reduced the erosion of the coast, as well. In the sixties, Silicon Valley and Route128 competed for market with completely different structures of interpersonal relations between workers: today the second centre has disappeared from the scene. All these examples share a common architecture: that of a network.
Systems like these have been studied for centuries. However, in the last few years, some properties have been discovered that are common to completely different systems. For example, all networks are "small worlds" and many are "scale invariant".
Studying how the architecture of networks influence the stories that happen within them is not easy. However, by using a computer and some mathematics one can build an artificial network and simulate within it a virtual epidemics, a theoretical extintion or an imaginary technological revolution.
This way, one can discover that the "disorder" of the connexions of the network can speed up the dynamics. Or that the presence of "superconnectors" in some networks can accelerate even more the processes. Or that the different "alliances" betweeen strongly connected and weakly connected elements can change the development of the story. Very often, the architecture of interactions determines the development of the dynamics. For this reason, the stories that happen in a connected world can't be understood without the comprehension of the hiden structure of their connections.
Dinamiche in reti complesse