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Gene-environment interactions and epigenetics are often conceptualized as key mechanisms underlying the influence of social status and social interaction on the distribution of health and illness in society. At the same time, genetic technologies, research, and explanations for health and behavior have rapidly infiltrated popular culture. Genetic information and treatments tailored to individual genomes are often portrayed as a panacea for the future of health care, but have yet to realize their potential, introducing new practical and ethical challenges. This volume focuses on critical issues surrounding the intersection of genetics, health, and society. It provides a critical examination of sociological and biomedical approaches to genomics, including strengths and limitations of each perspective. It also highlights important epistemological and ethical issues which must be confronted before genomics can be leveraged to improve population health. Furthermore, how genetic technologies and testing have been used in medical practice to date is examined, highlighting the costs and benefits of these innovations to society, groups, and individuals.

Social medicine. --- Genetics --- #SBIB:316.334.3M10 --- #SBIB:316.334.3M12 --- Medical care --- Medical sociology --- Medicine --- Medicine, Social --- Public health --- Public welfare --- Sociology --- Medical ethics --- Medical sociologists --- Social aspects. --- Medische sociologie: algemeen --- Medische sociologie: methoden en technieken --- Social aspects --- Medical genetics. --- Human genetics --- Clinical genetics --- Diseases --- Heredity of disease --- Medical sciences --- Pathology --- Genetic disorders --- Genetic aspects --- Social medicine --- Social Science --- Medical Genetics. --- Sociology. --- Medical sociology. --- General. --- Disease & Health Issues. --- Genetic engineering --- Medical genetics

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Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analyzing egocentric social network data. This comprehensive guide to study design, data collection, and analysis brings together the state of knowledge with the most effective research tools to guide newcomers to this field. It is illustrated with many engaging examples and graphics and assumes no prior knowledge. Covering the entire research process in a logical sequence, from conceptualizing research questions to interpreting findings, this volume provides a solid foundation for researchers at any stage of their career to learn and apply ego network methods.

Quantitative methods in social research --- Social sciences --- Social networks --- Online Social Networking --- Health Information Management --- Network analysis --- Research --- Methodology --- statistics & numerical data --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Network analysis (Social sciences) --- SNA (Social network analysis) --- Social network analysis --- System analysis --- Network analysis. --- Methodology.

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"Network analysis is ubiquitous. In recent years, it has shaped how researchers and society as a whole understand issues as diverse as the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the flows of air traffic, the rise of social media, and much more (Wasserman and Faust 1994; Barabasi 2002; Christakis and Fowler 2009; Watts and Strogatz 1998; Watts 1999). This influence is due to the remarkable flexibility and power of network analysis. A network is simply a set of nodes and the ties between them, and a node can be anything-an individual, an organization, a website, a computer server, an airport, a nation, or any entity with the capacity to connect in any fashion to another entity. The ability to think of any relationship in network terms has proved remarkably generative for researchers"--

Social sciences --- Social networks. --- System Analysis. --- Methodology. --- Social psychology --- Primary groups --- Social sciences - Methodology.