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BA scale-free network model ignores the appraisal which the node obtains in the network evolution. In the real system, new nodes tend to connect the nodes have been highly recognized. Therefore the paper presents a scale-free network model based on pagerank algorithm. The simulation experiment has showed the network dynamic generation process and obtained the degree distribution of BA model and new...
The BA model and BA extend model described the number of nodes linked, but they are believe the nodes have the highest number of links if the timeframe is enough long. However, the real system not only depend on timeframe, hence, we proposed a new network evolving model which has attractive factor, the number of links of nodes have relate with attractive factor. If new nodes have enough attractive...
The discovery of scale free network captured new sights for our understanding on complex system. Considering the growth and preferential attachment, BA model provided a lot of enlightenment for us. However, the two basic assumptions in BA model are still too simple for explaining many real phenomena, there are quite far distance to real networks. In this paper, we try to expand BA model, namely in...
In this paper, an edge driven model is proposed which allows all kinds of manipulations of complex networks that are common in most of the real-world networks. It is based on evolution features other than structural features that are employed in other models. Under this framework, a particular model is generated for reproducing the power-law distribution and the analytical results are also given.
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