This is a video of a randomly growing network using our network generation model. The network begins with 5 connected agents and adds 3 agents per time step for 208 steps (626 final agents). Each newly introduced agent adds 2 new attachments using the preferrential attachment approach. In addition, at each time step 2% of existing agents add 2 new attachments. Agent size and color is proportional to the number of connections each agent possesses.
There is no particular motivation for the choice of the parameters - but it makes for a pretty video! Enjoy!