Information Technology Capability Predictive Evaluation Using Complex Networks

We consider the system's functioning such that this functioning is fulfilled according to the given network of actions. It can be alternated at some moments - generally, due to the impact of the system environment. The impact of the environment, thus system functioning, and the functioning alternations results are characterized by random values. To systematize possible states during the network fulfillment and possible alternations of the functioning, we propose a new type of graph-theoretic model-a Complex State - Transition Tree of Action Networks. Each node of the tree corresponds to the system's state, and each branch to the possible system state transition and both may take complex forms. Each possible part of the system (workplace) state corresponds to the possible action or waiting for the action realization. The states of the tree of possible states correspond to the possible cuts and possible alternation cases of the networks of actions. To create trees of possible states, an algorithm to build such trees from alternated networks of operations provided.