Mobile Social Networking and Computing: A Multidisciplinary Integrated Perspective - Rilegato

Wang, Yufeng; Ma, Jianhua

Rilegato

ISBN 10: 1466552751 ISBN 13: 9781466552753

Casa editrice: Auerbach Publications, 2014

Riassunto

Recent advancements in mobile device technologies are revolutionizing how we socialize, interact, and connect. By connecting the virtual community with the local environment, mobile social networks (MSNs) create the opportunity for a multitude of new personalized services for mobile users. Along with that comes the need for new paradigms, mechanisms, and techniques with the capacity to autonomously manage their functioning and evolution.

Currently, most books about mobile networks focus mainly on the technical point of view. Mobile Social Networking and Computing: A Multidisciplinary Integrated Perspective not only addresses the theoretical aspects of MSN and computing, but also introduces and categorizes existing applications. It supplies a multidisciplinary perspective that considers the technology, economics, social sciences, and psychology behind MSNs.

In addition to fundamental theory, the book investigates the practical issues in MSN, including characteristics, inner structural relationship, incentive mechanisms, resource allocating, information diffusion, search, ranking, privacy, trust, and reputation. Introducing recently developed technologies, modes, and models, the book provides two distinct (but related) viewpoints about MSN applications: socially inspired networking technology and networking technology that uses recent advancements to enhance quality of life.

The text illustrates the interaction between the macrolevel structure and the local rational behaviors (microlevel) in MSN. It summarizes currently available MSN development platforms, including Android and iOS, and introduces and categorizes existing applications related to MSN and computing.

Both location-based service (LBS) and mobile social networks in proximity (MSNPs) are presented in a comprehensive manner. Highlighting key research opportunities, this much-needed reference outlines incentive mechanisms inspired by classical economics, behavioral economics, and social psychology, and, perhaps for the first time, it presents a summary of the economic and business models of MSNs.

Su questo libro

L'autore:

Yufeng Wang received his doctoral degree from the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications (BUPT), China, in July 2004. From July 2006 to April 2007, he worked as a postdoctoral researcher at Kyushu University, Japan. In May 2007, he became an associate professor at Nanjing University of Posts and Telecommunications (NUPT), China. From February 2008 to March 2011, he was an expert researcher at the National Institute of Information and Communications Technology (NICT), Japan. Since 2013, he has been a full professor at NUPT and is also a guest researcher at the State Key Laboratory of Networking and Switching Technology and at the Media Lab at Waseda University, Japan. Professor Wang’s research interests include multidisciplinary inspired research on networking and systems, specifically new generation networks, peer-to-peer (P2P), wireless ad hoc network and sensor networks, trust and reputation systems, and mobile social networking and computing.

Dr. Wang has published more than 40 academic papers in journals and conference proceedings and has organized two special issues on multidisciplinary networks and systems for the Telecommunication Systems Journal and the Journal of Computer and System Sciences.

Jianhua Ma received his bachelor’s and master’s degrees in communication systems from the National University of Defense Technology (NUDT), China, in 1982 and 1985, respectively. In 1990, he received his doctoral degree in information engineering from Xidian University, China. He has been on the faculty of Hosei University, Japan, since 2000. Presently, he is a professor of computer and information sciences in the Digital Media Department. Prior to joining Hosei University, Dr. Ma had 15 years of teaching and/or research experience at NUDT, Xidian University, and the University of Aizu, Japan.

Dr. Ma’s main research interest is ubiquitous computing, especially devoted to what he calls "smart worlds" filled with smart/intelligent ubiquitous things, or u-things, including three kinds of essential elements: smart objects, smart spaces/ hyperspaces, and smart systems. These are based on his vision for the future: ubiquitous intelligence (UI, u-intelligence) or pervasive intelligence (PI), solving the crucial problems caused by intelligence pervasion due to the fast progress of semiconductors, microelectromechanical systems (MEMS), nanoelectromechanical systems (NEMS), sensors, radio frequency identifications (RFIDs), embedded devices, ubiquitous computers, pervasive networks, universal services, and so forth.

Dr. Ma is a member of Institute of Electrical and Electronics Engineers (IEEE) and Association for Computing Machinery (ACM). He has edited 10 books/proceedings and has published more than 180 academic papers in journals, books, and conference proceedings. He has delivered more than 10 keynote speeches at international conferences, and he has given invited talks at more than 30 universities/institutes. (More detailed information about Prof. Jianhua Ma can be found at http://cis.k.hosei.ac.jp/~jianhua.)

Contenuti:

MSN BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES

Introduction to Mobile Social Networking and Computing
Introduction
Research and Application Framework of MSNs
Structure and Interaction Perspective about MSNs
     Multidimensional Structure—Economic and Social Characteristics of MSNs
     Evolutionary Interaction
MSN from an Application Perspective 
     Socially Inspired Mobile Networking
     Enhanced Social Life with Mobile Technologies
Fundamental Issues
     Incentive Mechanisms
     Trust and Reputation
     Identity Management and Privacy
     Location Technologies and Energy Efficiency
     HCI Issues
Conclusion
References

FUNDAMENTAL THEORY AND KEY PROBLEMS IN MSNs

Multidimensional (Temporal–Spatio–Social) Structural Characteristics of Mobile Social Networks
Introduction
Background on Static Social Network Characteristics and Measurements
     Degree Distribution
     Characteristic Path Length
     Clustering Coefficient
     Network Efficiency, E(G)
     Small-World Behavior
     Centrality
     Degree Centrality
     Closeness Centrality
     Betweenness Centrality
     Eigenvector Centrality
Characterizing Time-Varying MSNs
     Classifying Temporal Information
     Static versus Temporal Analysis
     Evolving versus Temporal Networks
     Formalism in TVGs
     Journeys and Related Temporal Concepts
     Temporal Betweenness Centrality
     Temporal Closeness Centrality
     Temporal Eigenvector Centrality
     Small-World Properties in Temporal Social Network
     An Incarnation of TVG Framework
Spatiosocial Characteristics of MSNs
     Node Locality
     Geographic Clustering Coefficient
Conclusion
References

User Behaviors and Interaction in MSNs
Introduction
Measuring and Characterizing User Interaction in MSNs
     Methodology of Measuring Users’ Behaviors and Interactions
          Crowdsourcing-Based Measurement Architecture
          Experience Sampling Method for MSNs
     Various Features of Interactions in MSNs
          Connectivity and Interaction in Social Network
          Traffic Activities in Social Networks
          Locality of Interest and Navigation Characteristics
     Prediction of User Behavior in MSNs
          Prediction of User’s Future Activity Level
          Geographical Prediction in MSN/OSN
Modeling User Interactions in MSNs
     Multidimensional Characterizing of Human Mobility in MSNs
     An Integrated Behavior Model in MSNs
          Edge Creation
          Social Triadic Closure
          Triangle-Closing Models
          Mobility-Driven Closure
          Temporal Evolution
          Putting It All Together: New Models Emerging
Motivating User Interaction in MSNs
Conclusion
References

Incentive Mechanisms in Mobile Social Networks
Introduction
Basic Concepts about Motivation Theories
     Motivation Approaches
          Economic View of Motivation: Example Design and Challenges
          Some Challenges in an Economic View of Motivation
          Behavioral Economics View of Motivation
     Motivation Theory from Psychology
     Future Trends
          Exploring Designs of Mechanisms Inspired by Theories of Motivation
          Personalized Incentive Mechanism Design
Typical Incentive Schemes in MSNs
Mobile Crowdsourcing Sensing in MSNs
Conclusion and Future Directions
References

Information Diffusion in Mobile Social Networks
Introduction
Information Diffusion Models
     General Threshold Model
     General Cascade Model
     Game Theory–Based Diffusion Model 5.3 Influence Maximization Problem
     Definition
     Existing Algorithms in Influence Maximization
          Greedy-Based Algorithms
          Heuristic Schemes
     Distributed Realization of Influence Maximization in MSNs
          Basic Concepts about Random Walk
          The Process of Distributed iWander Protocol Inspired by Random Walk
          The Evaluation of iWander
Extensions to Influence Maximization
     Budget and Cost in Information Diffusion
     Competitive Information Diffusion
     Time-Critical Influence Maximization
Conclusion
References

Mobile Search and Ranking
Introduction
Some Challenges of Search and Ranking in MSNs
     Technological Factors
     Socioeconomic Factors
Existing Schemes of Search and Ranking in MSNs
     A Preference-Enabled Querying Mechanism
          Related Work
          Architecture and Components
     Social Search Browser
          SSB Prototype
          Mobile Application
          Interactive Filters
          Query Details and Answers
     Social Network Document Ranking
          Multilevel Actor Similarity 
          Implementation of Social Network Document Rank
     Mobile Decentralized Search
          Mobile Search and SMS
          Traditional Design of the iTrust Search and Retrieval System
          Search and Retrieval for iTrust over SMS
          Performance Evaluation of iTrust
Conclusion
References

Energy-Efficient Mechanisms in Mobile Social Networks
Introduction
Energy Efficiency on Location Technology
     Energy Efficiency on Outdoor Location Technologies
     Energy Efficiency on Indoor Location Technologies
The Underlying Networking Technology
     Power Saving Mechanisms for Mobile Stations
     Adaptive Power Saving Mechanism for 802.16e
     Power Saving Mechanism for Wi-Fi Direct
          Opportunistic Power Save
          Notice of Absence Protocol
     Energy Efficiency on Bluetooth
Energy Efficiency on Mobile User Context
     Sensors for Detecting User Context
          Ambient Light Sensor
          Proximity Sensor
          Global Positioning System
          Accelerometer
          Compass
          Gyros
          A New Sensor—Back-Illuminated Sensor
     User Context
     Context-Aware Services
     Sensor PM
Application and Architecture Features
     Energy-Efficient File Sharing
     Collaborative Downloading
Developers and Users
Conclusion
References

Privacy, Trust, and Reputation in Mobile Networking and Computing
Privacy
     Introduction
     Architecture and Classification of MSNs
          Centralized MSNs
          Distributed MSNs
          Hybrid MSNs
     Privacy Leakage Information in MSNs
     Privacy Protection Classification
          Obfuscation
          Private Matching
          Location Privacy
          Communication Privacy
     Future Directions
     Conclusion
Trust and Reputation
     Introduction
     Fundamentals of Trust and Reputation
          Definition of Trust in MSNs
          Trust System Classification
          Definition of Reputation in MSNs
          Reputation System Classification
     Challenges and Attacks for Trust and Reputation Systems
          Playbooks
          Unfair Ratings
          Discrimination
          Collusion
          Proliferation
          Reputation Lag Exploitation
          Reentry
          Value Imbalance Exploitation
     Typical Trust and Reputation Systems
          Peer-to-Peer Multidimensional Trust Model
          DEco Arch
          TRAVOS
          Measuring Trustworthiness Using a Personalized Approach
Conclusion
References

Economic and Business Models in Mobile Social Networks
Introduction
Economic Characteristics of MSNs
     Mobility
     Network Externalities
     Long Tail
Present Business Models of MSNs
     Theories about Mobile Business Models
          Business Model Components
          Design Issues
     Revenue Models of MSNs
          Advertising
          Subscription
          Transaction-Based Fee
     Specific Issues
          Activeness
          Identity
          Copyright
          Mobility
          Trust
Analyzing MSN Business Models Based on Two-Sided Market Theory
     Definitions of Two-Sided Market
     The Model and Analysis
          Platform Monopoly
          Platform Duopoly
Conclusion
References

APPLICATIONS OF MSN

Socially Inspired Mobile Networking
Introduction
Human Mobility Traces and Models
     Data Collection Techniques
     Real Human Mobility Traces
          Reality Mining Trace
          Cambridge Trace
     Human Mobility Models
Social-Based Routing Protocols in Delay-Tolerant Networks
     A Survey of Social-Based Routing Protocols
          Label Routing
          SimBet Routing
          BUBBLE Rap Forwarding
          Social-Based Multicasting
          Friendship-Based Routing
          Give2Get
          Tit-for-Tat
          Social Selfishness Aware Routing 
     Comparisons of Social-Based Routing Protocols
     A Typical Social-Based Routing Protocol
          Analysis of Node Relations
          Friendship Community Formation
          Forwarding Strategy
Conclusion and Future Work
Refer...

Su questa edizione

• Editore: Auerbach Publications
• Data di pubblicazione: 2014
• ISBN 10: 1466552751
• ISBN 13: 9781466552753
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 416