Influence of G.P on Networks - A Scientific Study on Case (I)
In this paper, the authors deal with the investigation on Geometric Progression (G.P) which explains whether it will indorse the network or not in a special case of network. The large scale network is illustrated in a taxonomical way with 94 nodes and 124 activities. G.P is conceived on a most likely time estimate among the three time estimates namely optimistic, most likely and pessimistic. Scientific study has been accomplished on the considered network. Some remarkable results are found. All float values are also computed.