An examination of how and why various US demographic groups are politically distinct and how these groups' behavior can influence public opinion, policy, and party positioning.

This book examines the demographic behaviour of families in eighteenth- and nineteenth-century Germany.

Intergenerational research is crucial in understanding long term demographic trends. This book examines the ways kinship affects demographic behavior, including mortality patterns to determine the influence of fertility patterns, the contribution of parents’ longevity, and the affects of a family history of disease. It emphasizes the importance of studies that include and compare other factors related to social organization with information on multi-generational families.

The scientific study of networks - computer, social, and biological - has received an enormous amount of interest in recent years. However, the network approach has been applied to the field of animal behaviour relatively late compared to many other biological disciplines. Understanding social network structure is of great importance for biologists since the structural characteristics of any network will affect its constituent members and influence a range of diverse behaviours. These include finding and choosing a sexual partner, developing and maintaining cooperative relationships, and engaging in foraging and anti-predator behavior. This novel text provides an overview of the insights that network analysis has provided into major biological processes, and how it has enhanced our understanding of the social organisation of several important taxonomic groups. It brings together researchers from a wide range of disciplines with the aim of providing both an overview of the power of the network approach for understanding patterns and process in animal populations, as well as outlining how current methodological constraints and challenges can be overcome. Animal Social Networks is principally aimed at graduate level students and researchers in the fields of ecology, zoology, animal behaviour, and evolutionary biology but will also be of interest to social scientists.

Demographic Gaps in American Political Behavior examines the political behavior of various groups in the United States in an effort to demonstrate how demographic backgrounds and socialization affect political behavior. Media coverage has disproportionately focused on the red state versus blue state divide, leaving the impression that American political behavior is determined solely by place of residence. This, however, ignores the numerous other political divides that exist in the United States today. In order to better conceptualize the landscape of American political behavior, Patrick Fisher analyzes the political gaps in six different demographics (income, religion, gender, race, age, and geography) and examines the effect these political gaps have on public opinion, policy, and party positioning. Written in an accessible fashion, Demographic Gaps in American Political Behavior uses contemporary examples and data from the 2008 and 2012 elections to help readers understand how and why demographic background has the potential to greatly influence political opinions and behavior.

Agent-Based Computational Demography (ABCD) aims at starting a new stream of research among social scientists whose interests lie in understanding demographic behaviour. The book takes a micro-demographic (agent-based) perspective and illustrates the potentialities of computer simulation as an aid in theory building. The chapters of the book, written by leading experts either in demography or in agent-based modelling, address several key questions. Why do we need agent-based computational demography? How can ABCD be applied to the study of migrations, family demography, and historical demography? What are the peculiarities of agent-based models as applied to the demography of human populations? ABCD is of interest to all scientists interested in studying demographic behaviour, as well as to computer scientists and modellers who are looking for a promising field of application.