Identifying the Latent Space Geometry of Network Models through Analysis of Curvature
收藏NBER2020-12-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w28273
下载链接
链接失效反馈官方服务：
资源简介：
Statistically modeling networks, across numerous disciplines and contexts, is fundamentally challenging because of (often high-order) dependence between connections. A common approach assigns each person in the graph to a position on a low-dimensional manifold. Distance between individuals in this
提供机构：
美国国家经济研究局
创建时间：
2020-12-01
