社交网络空间结构的标度律
The Scaling laws of Spatial Structure in Social Networks
摘要：
社会网络结构对于理解人类的信息传播、合作和竞争模式具有重要意义。它可以给我们带来一些关于人们如何相互影响的深刻见解。社交网络作为复杂网络的一部分，已经得到了广泛的研究。许多我们非常熟悉的重要的普适性质已经恢复，如无标度分布，小世界，社区结构，自相似性和可导航性。根据一些实证研究，我们得出结论，我们的社会网络还具有另一个重要的普遍性质。社会网络的空间结构是尺度不变的。友谊地理距离的分布近似为$Pr(d)\propto d^{-1}$，与通航性相协调。更重要的是，从搜索信息的角度来看，这种财产最能使个人受益。
英文摘要：
Social network structure is very important for understanding human information diffusing, cooperating and competing patterns. It can bring us with some deep insights about how people affect each other. As a part of complex networks, social networks have been studied extensively. Many important universal properties with which we are quite familiar have been recovered, such as scale free degree distribution, small world, community structure, self-similarity and navigability. According to some empirical investigations, we conclude that our social network also possesses another important universal property. The spatial structure of social network is scale invariable. The distribution of geographic distance between friendship is about $Pr(d)\propto d^{-1}$ which is harmonious with navigability. More importantly, from the perspective of searching information, this kind of property can benefit individuals most.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
