The pervasiveness of Internet, the progresses of communication, processing and storage technologies and the evolution of social media are transforming human communication. We are communicating with other people via phone calls, messages, e-mails, and we are updating each other through social networks like Twitter, Facebook or Linkedin. We are also sharing photos on Flickr and videos on YouTube. We are more and more consuming, but also creating, contents that are shared with friends and other people.
There are also several tools allowing us to customize the content we create and consume (searches, alerts, RSS readers, etc.). And maybe, we will spend more and more time on watching, listening (e.g., multi media contents), speaking and hopefully reading (e.g. e-books). I imagine that all of this will allow each of us to create and customize sort of Personal Knowledge Ecosystems supported, and interconnected with each other, by future networks. Indeed information, knowledge, multi media contents will be seeds for said ecosystems.
This evolution will impact future networks, which should be able to transport and manage huge amounts of short digital bursts of multimedia contents and information (e.g., audio and video elements). Also, future networks should also provide multi-scale reaction times in handling said huge amounts of data. This reminds me once more the brain networks.
I’m wondering whether we can look at progresses in neuroscience when designing future networks. Cognitive scientists are just beginning to understand human brain mechanisms that underlie complex cognitive processes in managing images. They are arguing that the small world and exponentially truncated power law characteristics of brain network might be the best structural basis for the rapid generation and transfer of information through the coexistence of both informational processing segregation (in specialized regions) and integration (by coherent oscillations in wider regions).