Network Dynamics

Follow along with the course eBook: https://systemsinnovation.io/books/ Take the full course: https://systemsinnovation.io/courses/ Twitter: http://bit.ly/2JuNmXX LinkedIn: http://bit.ly/2YCP2U6 Almost all real networks are dynamic in nature and how they have evolved and change over time is a defining feature to their topology and properties. As network theory is a very new subject much of it is still focused on trying to explore the basics of static graphs, as the study of their dynamics results in the additional of a whole new sets of parameters to our models and takes us into a new level of complexity, much of which remains unexplored, and is the subject of active research. Transcription excerpt: So lets start by talking about growing a random network to see what it looks like, when we say growing a network we might mean adding more nodes to it, but also, more interestingly adding links to it, that increases the overall connectivity. In our random model links were just placed bet