小论文从3月7号第一稿完成一直修改到现在，修改得都快呕吐了，老外的语言咋就这么难念呢？。。。不过还好，今天终于再杀一次青！论文选题来源于项目组的IPv6拓扑发现，我的任务就是发现这些拓扑的新特点，说来真是汗啊，要用到N多概率数学的东东，虽然觉得数学比较有趣，然而大学以来的数学课上多数还是睡觉了，还好概率的东西并不太难理解。然后就是统计物理，复杂网络是统计物理的一个新兴领域，有着极为广泛的应用，搞计算机的居然又弄起了物理，中学以来对物理的天然兴趣居然还在这儿派上了用场，呵！
　　老板指示论文先投Physical Review E，狂汗。。。这是可是Physical的顶级期刊啊，艾，等着大牛们的狂批。。。下面就是我论文的abstract，真是不知人家professional的Phy.看了有何言语。只要不告诉我看了以后无语就行，呵呵。

    Global IPv6 network topology is an instance of scale-free networks but it has a new feature: its powerlaw exponent is much less than those of most of classic scale-free networks such as IPv4 network. Current network evolution models, however, can’t explain why a scale-free network can have a powerlaw exponent much less than 2. We analyze the general meaning of the powerlaw exponent to a scale-free network, and show that it is a metric of topology equilibrium, and summarize two important factors for it: the probability of preferential attachment and the form of networks evolution. For the two factors, we propose a new model of networks evolution which has the capability to reproduce a scale-free network with a powerlaw exponent less than 2, and give out theoretic proof and experimental analysis for the model. Finally, we simulate the current IPv6 network AS topology with this model and reach a good result.