  In this paper, we introduce a framework to study local interactions due to
the presence of herding behavior in a minority game. The idea behind this
approach is to consider that some of the agents who play the game believe that
some of their neighbors are more informed than themselves. Thus, in this way,
these agents imitate their most informed neighbors. The notion of neighborhood
here is given by a regular network, a random network or a small world network.
We show that under herding behavior the cooperation between the agents is less
efficient than that one which arises in the standard minority game. On the
other hand, depending on the topology of the network, we show that that the
well known curve volatility versus memory, which caracterizes the minority
game, is a monotone decreasing curve.
