| The theory of random network was independently introduced by Erdos and Renyi. Random networks have seen much interest from all research circles and have found many potential applications in a variety of fields including engineering technology,society,politics communications,medicine,nerual networks,economics and management.It is known to us all,randomness is in line with the major features of real-life networks, it makes harder to gain a visual understanding of how networks are shaped,and how do different nodes relate to each other.Therefore,it would be not only of major theoretical interest but also of practical significance to construct models that lead to random networks in stochastic and deterministic fashions.Especially,growth models can not only simulation the processes that assembled the networks that we see today,but also help to know various microscopic processes influence the network topology.People have conducted the massive research and the exploration to this domain,and has yielded many results,obtains some research growth model method and the nature.Simultaneously still had many solution the question.In this paper,the statistical structural properties of a geometric growth random network model is introduced and analyzed,which may be relevant to social networks.Firstly we simplily simulated the results of the research of growth random network.Then we established a model of growth random network,which nodes are added following geometric. and we getted the edge distribution,average component size,size of the giant component and so on.Specially,when the stochastic node according to and so on compares the q=1 increase,obtained changes the position is inδ= 1/8 time appears.At the same time,the random growth of the network and the static distribution network with the structural characteristics were compared. |
