Mobile Social Networking and Computing A Multidisciplinary Integrated Perspective

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.

MSN BASIC CONCEPTS, APPLICATIONS, AND CHALLENGESIntroduction to Mobile Social Networking and ComputingIntroductionResearch and Application Framework of MSNsStructure and Interaction Perspective about MSNs Multidimensional Structure—Economic and Social Characteristics of MSNs Evolutionary InteractionMSN from an Application Perspective Socially Inspired Mobile Networking Enhanced Social Life with Mobile TechnologiesFundamental Issues Incentive Mechanisms Trust and Reputation Identity Management and Privacy Location Technologies and Energy Efficiency HCI IssuesConclusionReferencesFUNDAMENTAL THEORY AND KEY PROBLEMS IN MSNsMultidimensional (Temporal–Spatio–Social) Structural Characteristics of Mobile Social NetworksIntroductionBackground 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 CentralityCharacterizing 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 FrameworkSpatiosocial Characteristics of MSNs Node Locality Geographic Clustering CoefficientConclusionReferencesUser Behaviors and Interaction in MSNsIntroductionMeasuring 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/OSNModeling 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 MSNsConclusionReferencesIncentive Mechanisms in Mobile Social NetworksIntroductionBasic 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 DesignTypical Incentive Schemes in MSNsMobile Crowdsourcing Sensing in MSNsConclusion and Future DirectionsReferences Information Diffusion in Mobile Social NetworksIntroductionInformation 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 iWanderExtensions to Influence Maximization Budget and Cost in Information Diffusion Competitive Information Diffusion Time-Critical Influence MaximizationConclusionReferencesMobile Search and RankingIntroductionSome Challenges of Search and Ranking in MSNs Technological Factors Socioeconomic FactorsExisting 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 ConclusionReferencesEnergy-Efficient Mechanisms in Mobile Social NetworksIntroductionEnergy Efficiency on Location Technology Energy Efficiency on Outdoor Location Technologies Energy Efficiency on Indoor Location TechnologiesThe 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 BluetoothEnergy Efficiency on Mobile User Context Sensors for Detecting User Context Ambient Light Sensor Proximity SensorGlobal Positioning System Accelerometer Compass Gyros A New Sensor—Back-Illuminated Sensor User Context Context-Aware Services Sensor PMApplication and Architecture Features Energy-Efficient File Sharing Collaborative DownloadingDevelopers and UsersConclusionReferencesPrivacy, Trust, and Reputation in Mobile Networking and ComputingPrivacy Introduction Architecture and Classification of MSNs Centralized MSNs Distributed MSNs Hybrid MSNs Privacy Leakage Information in MSNs Privacy Protection Classification ObfuscationPrivate Matching Location Privacy Communication Privacy Future DirectionsConclusion 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 ApproachConclusionReferences Economic and Business Models in Mobile Social NetworksIntroductionEconomic Characteristics of MSNs Mobility Network Externalities Long TailPresent 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 TrustAnalyzing MSN Business Models Based on Two-Sided Market Theory Definitions of Two-Sided Market The Model and Analysis Platform Monopoly Platform DuopolyConclusionReferencesAPPLICATIONS OF MSNSocially Inspired Mobile NetworkingIntroductionHuman Mobility Traces and Models Data Collection Techniques Real Human Mobility Traces Reality Mining Trace Cambridge Trace Human Mobility ModelsSocial-Based Routing Protocols in Delay-Tolerant Networks A Survey of Social-Based Routing ProtocolsLabel 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 StrategyConclusion and Future WorkReferencesLocation-Based ServicesIntroductionPositioning Technologies and Assessment Positioning Technologies Outdoor Technologies Indoor Technologies (Indoor Localization Techniques) Performance Assessment of Outdoor TechnologiesCategories and Characteristics of LBSs Categories of LBSs Characteristics of LBSsArchitecture and Typical Applications of LBSs Architecture of LBSs Components Needed to Deliver LBSs Common LBS Architecture Requirements of LBS Architecture Typical LBS Applications Foursquare SindbadChallenges for LBSs User Privacy Interoperability Accuracy and Reliability Information Availability Adaptation Legal, Ethical, and Social ChallengesConclusionReferencesMobile Social Networking in ProximityIntroductionMSNP-Related Applications Mobile Social Network Mobile P2P Opportunistic Network Several Initiatives of MSNP 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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.)