Networks and Kinship

Introduction: Kinship Networks and Cohesion

Kinship Verification with Deep Convolutional Neural Networks

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...

Homophyly/Kinship Model: Naturally Evolving Networks

It has been a challenge to understand the formation and roles of social groups or natural communities in the evolution of species, societies and real world networks. Here, we propose the hypothesis that homophyly/kinship is the intrinsic mechanism of natural communities, introduce the notion of the affinity exponent and propose the homophyly/kinship model of networks. We demonstrate that the ne...

Kinship and friendship networks and women's demand for primary care.

Women's perceptions of illness are examined and the effects of lay consultations and social networks on the use of general practitioner services are explored.A sample of 79 women aged 16-44 from a new estate in London completed six-week health diaries and were subsequently interviewed. Symptoms were recorded in the diaries one day in every three, and the ratio of medical consultations to sympto...

Analyzing Large Kinship and Marriage Networks With Pgraph and Pajek

Five key problems of kinship networks are boundedness, cohesion, size and cohesive relinking, types of relations and relinking, and groups or roles. Approaches to solving these problems include formats available for electronic storage of genealogical data and representations of genealogies using graphs. P-graphs represent couples and uncoupled children as vertices, whereas parent-child links ar...