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About The Book
Description
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<p>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 <strong>Socio-Technical Networks: Science and Engineering Design</strong> 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.</p><p>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. </p><ul> <p> </p> <li>Covers the physical and technological designs in a typical STN </li> <li>Considers STN applications in popular fields such as healthcare and the virtual community </li> <li>Details a method for mapping and measuring complexity uncertainty and interactions among STN components </li> </ul><p>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. </p>