The Influence of Confidence and Social Networks on an Agent-Based Model of Stock Exchange

Figure 6

Initial (a, c, e) and final (b, d, f) configurations of agent distribution for random (a, b), small-world (c, d), and Barabási networks (e, f). The term initial refers to the beginning of the simulation and the term final refers to the end of the simulation. The size of each node is proportional to the initial wealth (a, c, e) and to the average wealth of the entire simulation (b, d, f). Graphical representation of the networks used in the simulations. Each node corresponds to an agent (100 in all). Each color of the node corresponds to a type of agent, the fundamentalists being pink; the random agents being green, orange, blue, and black; the chartists of memory 1, 5, and 10. A line represents the link between two agents. In cases (a), (c), and (e), we see how the types of agents are distributed at the beginning of the simulation. In (b), (d), and (f), we observe the configuration of the types of agents at the end of the simulation for each type of network. The size of each node is proportional to the respective wealth of the agent at the instant considered. (a, b) Random network. (c, d) Small-world network. (e, f) Barabási network.

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