Social Network Simulation

In an attempt to understand the advogato trust metric and possible application to a new social network, we simulate growth of the network as a series of growth steps where at each step, the person may be a bad actor with some probability.

to be filled in by script

Discussion

Under the hood

It comes in two main parts:

  1. socialsim.py which runs the simulation and the trust metric and writes the results in JSON
  2. netdraw.js which loads the JSON data and animates it

Acks

Thanks to...


by Dan Connolly Apr 2010