Springer Mobile Social Networking: An Innovative Approach (Computational Social Sciences)

The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be built to provide mobile social networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributions from the fields of sociology, computer science, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, as well as how users behave around them and how their behavior differs on mobile vs. traditional online social networks. Review From the book reviews: “This is a wonderful book, innovative, methodological and pedagogical, scientifically rigorous, important in establishing Mobile Social Networks concepts, simultaneously descriptive and operative. Written by highly reputed contributors from academia and industry, it is an essential reading for graduate students and researchers, business professionals and CTO’s. And also for everyone that aims to give the first step in approaching this theme.” (Manuel Alberto M. Ferreira, International Journal of Latest Trends in Finance and Economic Sciences, Vol. 4 (4), December, 2014)“The book includes nine chapters that deal with different facets of the usual mobile social network life cycle: discovery, connection, interaction, and organization. … This volume may be a useful supplement to help students and some mobile social network architects identify or address specific features to be deployed.” (L.-F. Pau, Computing Reviews, August, 2014) From the Back Cover The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be built to provide mobile social networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributions from the fields of sociology, computer science, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, as well as how users behave around them and how their behavior differs on mobile vs. traditional online social networks. About the Author Alvin Chin is a Senior Researcher at Nokia Research Center, Beijjing. Daqing Zhang is a Professor at Institut Telecom SudParis.