模拟了Web2.0网络的发展过程并研究其拓扑结构,分析某门户网站实际博客数据的度分布、节点度时间变化,发现与先前的无标度网络模型有所差别.根据真实网络的生长特点,提出了边与节点同时增长的网络模型,包括随机连接及近邻互联的网络构造规则.仿真研究表明,模拟的网络更接近实际,在没有优先连接过程时,模型能得到幂率的度分布;并且网络有更大的聚类系数以及正的度相关性。
We investigate the growing process and topological features of Web 2.0 networks.By analyzing the network's degree distribution,average degree and time evolution of the node degree of an actual blog on portal website,we found these properties are different from those of the former scale-free network models.According to the growth characteristics of actual networks,we put forward a new type of network with synchronously increasing nodes and edges,including construction algorithms of randomly linking and connection between close neighbours.The simulation results show that the networks generated from our model have power-law degree distribution in case of absence of the preferential attachment process,and the clustering coefficient increases and the connectivity correlations are assortative.