1.

Record Nr.

UNINA9910300379503321

Titolo

Mobile social networking : an innovative approach / / Alvin Chin, Daqing Zhang, editors

Pubbl/distr/stampa

New York, NY : , : Springe, , 2014

ISBN

9781461485797 (e-book)

9781461485780 (hbk.)

9781493944781 (pbk.)

1-4614-8579-7

Descrizione fisica

1 online resource (xiv, 243 p.) : ill

Collana

Computational social sciences

Disciplina

006.754

Soggetti

Online social networks

Social networks

Computer networks

Communication

Computational complexity

User interfaces (Computer systems)

Applications of Graph Theory and Complex Networks

Computer Communication Networks

Communications Engineering, Networks

Communication Studies

Complexity

User Interfaces and Human Computer Interaction

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Introduction -- 2. Socially Aware Computing: Concepts, Technologies, and Practices -- 3. Ephemeral Social Networks -- 4. Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities -- 5. Mobile Social Service Design for Special Context -- 6. Exploiting Personal and Community Context in Mobile Social Networks -- 7. Enhancing Mobile Social Networks with Ambient Intelligence -- 8. Data Analysis on Location-Based Social Networks -- 9. Towards Trustworthy Mobile Social Networking -- 10. Conclusions.



Sommario/riassunto

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.