Simulating an informal contacts network in the context of organizational change

In this work we examine the impact of informal contacts network in the context of organizational change. We use a cellular automata model with majority rule and movement but supplemented with additional mechanism which generates much more unbalanced network between agents. The structures of the emerged networks are briefly described and the outcomes of two variants of simulation experiments are presented. The main results are that the presence of informal contacts network leads to (1) stronger effects when the two groups of agents (those in favor of the change, and those against it) are not equal and (2) to more unpredictable outcome for large density of agents.