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.

Social network analysis is used widely in the social sciences to study interactions among people, groups, and organizations, yet until now there has been no book that shows behavioral biologists how to apply it to their work on animal populations. Exploring Animal Social Networks provides a practical guide for researchers, undergraduates, and graduate students in ecology, evolutionary biology, animal behavior, and zoology. Existing methods for studying animal social structure focus either on one animal and its interactions or on the average properties of a whole population. This book enables researchers to probe animal social structure at all levels, from the individual to the population. No prior knowledge of network theory is assumed. The authors give a step-by-step introduction to the different procedures and offer ideas for designing studies, collecting data, and interpreting results. They examine some of today's most sophisticated statistical tools for social network analysis and show how they can be used to study social interactions in animals, including cetaceans, ungulates, primates, insects, and fish. Drawing from an array of techniques, the authors explore how network structures influence individual behavior and how this in turn influences, and is influenced by, behavior at the population level. Throughout, the authors use two software packages--UCINET and NETDRAW--to illustrate how these powerful analytical tools can be applied to different animal social organizations.

Most animal communication has evolved and now takes place in the context of a communication network, i.e. several signallers and receivers within communication range of each other. This idea follows naturally from the observation that many signals travel further than the average spacing between animals. This is self evidently true for long-range signals, but at a high density the same is true for short-range signals (e.g. begging calls of nestling birds). This book provides a current summary of research on communication networks and appraises future prospects. It combines information from studies of several taxonomic groups (insects to people via fiddler crabs, fish, frogs, birds and mammals) and several signalling modalities (visual, acoustic and chemical signals). It also specifically addresses the many areas of interface between communication networks and other disciplines (from the evolution of human charitable behaviour to the psychophysics of signal perception, via social behaviour, physiology and mathematical models).

The last decade has seen a surge of interest among biologists in a range of social animal phenomena, including collective behaviour and social networks. In ‘Animal Social Behaviour’, authors Ashley Ward and Michael Webster integrate the most up-to-date empirical and theoretical research to provide a new synthesis of the field, which is aimed at fellow researchers and postgraduate students on the topic. ​

#1 NEW YORK TIMES BESTSELLER With unequaled insight and brio, New York Times columnist David Brooks has long explored and explained the way we live. Now Brooks turns to the building blocks of human flourishing in a multilayered, profoundly illuminating work grounded in everyday life. This is the story of how success happens, told through the lives of one composite American couple, Harold and Erica. Drawing on a wealth of current research from numerous disciplines, Brooks takes Harold and Erica from infancy to old age, illustrating a fundamental new understanding of human nature along the way: The unconscious mind, it turns out, is not a dark, vestigial place, but a creative one, where most of the brain’s work gets done. This is the realm where character is formed and where our most important life decisions are made—the natural habitat of The Social Animal. Brooks reveals the deeply social aspect of our minds and exposes the bias in modern culture that overemphasizes rationalism, individualism, and IQ. He demolishes conventional definitions of success and looks toward a culture based on trust and humility. The Social Animal is a moving intellectual adventure, a story of achievement and a defense of progress. It is an essential book for our time—one that will have broad social impact and will change the way we see ourselves and the world.

Animals lead rich social lives. They care for one another, compete for resources, and mate. Within a society, social relationships may be simple or complex and usually vary considerably, both between different groups of individuals and over time. These social systems are fundamental to biological organization, and animal societies are central to studies of behavioral and evolutionary biology. But how do we study animal societies? How do we take observations of animals fighting, grooming, or forming groups and produce a realistic description or model of their societies? Analyzing AnimalSocieties presents a conceptual framework for analyzing social behavior and demonstrates how to put this framework into practice by collecting suitable data on the interactions and associations of individuals so that relationships can be described, and, from these, models can be derived. In addition to presenting the tools, Hal Whitehead illustrates their applicability using a wide range of real data on a variety of animal species—from bats and chimps to dolphins and birds. The techniques that Whitehead describes will be profitably adopted by scientists working with primates, cetaceans, birds, and ungulates, but the tools can be used to study societies of invertebrates, amphibians, and even humans. Analyzing AnimalSocieties will become a standard reference for those studying vertebrate social behavior and will give to these studies the kind of quality standard already in use in other areas of the life sciences.

While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.