OBJECTIVES Marriages among kin have the dual effect of both increasing average group relatedness as well as reducing the total number of kin by eliminating more genealogically and geographically distant individuals from kinship networks. Marriage decisions therefore face a tradeoff between density of kin, or formation of intensive kinship systems, and the diversity of kin, or extensive kinship ...

This overview of the development of the multilevel network approach to kinship has at its core the definition of a multilevel network as one in which a node at one level may contain a network of relations at the next level (Harary and Batell 1981). The definition is potentially recursive so as to define a particular kind of system, a network with potentially many levels. André Weil (1949), for ...

Kinship verification from facial images is an interesting and challenging problem. The current algorithms on this topic typically represent faces with multiple low-level features, followed by a shallow learning model. However, these general manual features cannot well discover information implied in facial images for kinship verification, and thus even current best algorithms are not satisfying...

This article, one of a series, approaches the topics of marriage and kinship through a revitalized kinetic structural approach that shifts the primary focus from abstract models of rules, terminologies, attitudes and norms to exploration of concrete relations in a population, analyzed graph-theoretically in their full complexity as networks. Network representation using the graphe de parenté (s...

INTRODUCTION Reports on the quality of life (QOL) of family caregivers of schizophrenia patients are uncommon. Relations of different degree of kinship to caregivers' QOL are unexplored, but may be relevant. The purpose of this study was to assess the subjective QOL of caregivers of stable outpatients with diagnosis of schizophrenia compared with controls, and to assess factors associated with ...

While the individuals chosen for a genome-wide association study (GWAS) may not be closely related to each other, there can be distant (cryptic) relationships that confound the evidence of disease association. These cryptic relationships violate the GWAS assumption regarding the independence of the subjects’ genomes, and failure to account for these relationships results in both false positives...