Regional surname affinity: A spatial network approach.

ABSTRACT:

Objective

We investigate surname affinities among areas of modern-day China, by constructing a spatial network, and making community detection. It reports a geographical genealogy of the Chinese population that is result of population origins, historical migrations, and societal evolutions.

Materials and methods

We acquire data from the census records supplied by China's National Citizen Identity Information System, including the surname and regional information of 1.28 billion registered Chinese citizens. We propose a multilayer minimum spanning tree (MMST) to construct a spatial network based on the matrix of isonymic distances, which is often used to characterize the dissimilarity of surname structure among areas. We use the fast unfolding algorithm to detect network comm

SUBMITTER: Shi Y 

PROVIDER: S-EPMC6590414 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature