While there are sporadic journal articles on socio-technical
networks, there's long been a need for an integrated resource that
addresses concrete socio-technical network (STN) design issues from
algorithmic and engineering perspectives. Filling this need,
Socio-Technical Networks: Science and Engineering Design provides a
complete introduction to the fundamentals of one of the hottest
research areas across the social sciences, networking, and computer
science -- including its definition, historical background, and
models. Covering basic STN architecture from a
physical/technological perspective, the book considers the system
design process in a typical STN, including inputs,
processes/actions, and outputs/products. It covers current
applications, including transportation networks, energy systems,
tele-healthcare, financial networks, and the World Wide Web. A
group of STN expert contributors addresses privacy and security
topics in the interdependent context of critical infrastructure,
which include risk models, trust models, and privacy preserving
schemes. * Covers the physical and technological designs in a
typical STN * Considers STN applications in popular fields, such as
healthcare and the virtual community * Details a method for mapping
and measuring complexity, uncertainty, and interactions among STN
components The book examines the most important STN models,
including graph theory, inferring agent dynamics, decision theory,
and information mining. It also explains structural studies,
behavioral studies, and agent/actor system studies and policy
studies in different STN contexts. Complete with in-depth case
studies, this book supplies the practical insight needed to address
contemporary STN design issues.
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