Cumulative Laws, Team Assembling Mechanisms Determining Network Structure

很多个研究工作使清楚些最近复杂网络成立了。我们调查大量真实世界的网络并且发现几有趣的现象。第一，几乎所有在以前的网络上由重叠这些网络发展新小图。第二，不是成熟网络的仅仅学位顺序在成长进程期间跟随累积出现时间的幂定律分布，而且分发被揭示有一条重尾巴。存在网络演变模型不提供解释给这些现象。我们基于装配机制的队建议一个模型，它从真实世界的网络的成长进程被提取并且要求简单参数，并且生产展出在现在的学习并且在以前的工作观察的这些性质的网络。

A number of researching works have shed light on the field of complex networks recently. We investigate a wide range of real-world networks and find several interesting phenomena. Firstly, almost all of these networks evolve by overlapping new small graphs on former networks. Secondly, not only the degree sequence of the mature network follows a power-law distribution, but also the distribution of the cumulative occurrence times during the growing process are revealed to have a heavy tail. Existing network evolving models do not provide interpretation to these phenomena. We suggest a model based on the team assembling mechanism, which is extracted from the growing processes of real-world networks and requires simple parameters, and produces networks exhibiting these properties observed in the present study and in previous works.