Observing a Society Through Time

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Network Members Become Similar Over Time

Note: in order to run the simulation referred to in this slide, go here, to the Java Applet version. You will be directed to download the latest version of the Java plug-in.

This slide shows that network members who share information tend to have resources that approach one another over time. Since resources improve partly as a function of one's network of connections, richer networks tend to improve faster. To the left, we have constructed a society with the connections shown for demonstration. We will simulate the society for twenty time periods and observe what happens to the amount of knowledge held by each agent. We assume that learning rates and sharing rates are the same for all networks.

Press the "Go" button to run the simulation for twenty time periods.

Once you run the society, the graph below will display the amount of knowledge each agent has as a function of time. Focus now on agents that belong to the same network. Notice that the range of knowledge endowments within each network has decreased significantly. The top agent in each network is still at the top but her two partners are converging on the same level of resources. Note also that the last network, with only two members, grows much more slowly than the other networks.

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