Social Network

Authors: Alex Tee Neng Heng, David G. Green

For a society to be cohesive, its members need to hold similar beliefs and ideas. This models tests for conditions under which peer-peer interactions lead to cohesion. It starts with a population divided between two states (yellow and black).

The agents are represented by coloured circles. The colour denotes their current state. There are two states, here denoted by yellow and black. Their initial states are assigned at random, with approximately half in each of the two states.

The lines indicate connections. Only connected agents interact. Bold lines denote interacting pairs of agents.

“Connectivity” refers to the density of links between agents, ranging from 0 for no links to 1 for a fully connected network.

“Influence” refers to the probability that during an interaction between agents, one will change to be in the same state as the other.

There are four network architectures:

  • in a “random” network the distribution of nodes is approximately uniform, the only parameter is the connectivity;
  • a “tree” is a network with branches stemming off a single “root”, the main parameter is the number of branches;
  • a “small world” is a regular network with a degree of random “long range” connections;
  • a “scale free” network is one in which the distribution of links per node follows a power law distribution;


  • Stocker, R. Green, D. G., and Newth, D. (2001). Consensus and cohesion in simulated social networks. Journal of Artificial Societies and Social Simulation (JASSS) . 4(4).
  • Stocker, R., Cornforth, D. and Green, D.G. (2002). The impact of television on cohesion in social networks ­ a simulation study. In Namatame, A., Green, D., Aruka, Y. & Sato, H. (eds) Complex Systems 2002 . Chuo University, Tokyo. pp. 222-228.
  • Rob Stocker, David Cornforth and T. R. J. Bossomaier (2002). Network Structures and Agreement in Social Network Simulations. Journal of Artificial Societies and Social Simulation vol. 5, no. 4

Demo screenshot