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140911s2014 flua o 001 0 eng d |
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|a UKMGB
|b eng
|e rda
|e pn
|c UKMGB
|d OCLCO
|d OCLCF
|d OCLCO
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|a GBB4A2857
|2 bnb
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|a 016873742
|2 Uk
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|a 9781466552760
|q (PDF ebook) :
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|a 146655276X
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|z 9781466552753 (hbk.)
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|a UKMGB
|b 016873742
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|a (OCoLC)1125098184
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|a TANDF_271493
|b Ingram Content Group
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|a 006.754
|2 23
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|a UAMI
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|a Wang, Yufeng
|c (Computer scientist),
|e author.
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|a Mobile social networking and computing :
|b a multidisciplinary integrated perspective /
|c Yufeng Wang and Jianhua Ma.
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|a 1st.
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|a Boca Raton :
|b Auerbach,
|c 2014.
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|a 1 online resource :
|b illustrations (black and white).
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| 336 |
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|a text
|2 rdacontent
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|a still image
|2 rdacontent
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|a computer
|2 rdamedia
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|a online resource
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
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| 500 |
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|a <P>MSN BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES<BR><BR><STRONG>Introduction to Mobile Social Networking and Computing<BR></STRONG>Introduction<BR>Research and Application Framework of MSNs<BR>Structure and Interaction Perspective about MSNs<BR> Multidimensional Structure-Economic and Social Characteristics of MSNs<BR> Evolutionary Interaction<BR>MSN from an Application Perspective <BR> Socially Inspired Mobile Networking<BR> Enhanced Social Life with Mobile Technologies<BR>Fundamental Issues<BR> Incentive Mechanisms<BR> Trust and Reputation<BR> Identity Management and Privacy<BR> Location Technologies and Energy Efficiency<BR> HCI Issues<BR>Conclusion<BR>References<BR><BR>FUNDAMENTAL THEORY AND KEY PROBLEMS IN MSNs<BR><BR><STRONG>Multidimensional (Temporal-Spatio-Social) Structural Characteristics of Mobile Social Networks<BR></STRONG>Introduction<BR>Background on Static Social Network Characteristics and Measurements<BR> Degree Distribution<BR> Characteristic Path Length<BR> Clustering Coefficient<BR> Network Efficiency, E(G)<BR> Small-World Behavior<BR> Centrality<BR> Degree Centrality<BR> Closeness Centrality<BR> Betweenness Centrality<BR> Eigenvector Centrality<BR>Characterizing Time-Varying MSNs<BR> Classifying Temporal Information<BR> Static versus Temporal Analysis<BR> Evolving versus Temporal Networks<BR> Formalism in TVGs<BR> Journeys and Related Temporal Concepts<BR> Temporal Betweenness Centrality<BR> Temporal Closeness Centrality<BR> Temporal Eigenvector Centrality<BR> Small-World Properties in Temporal Social Network<BR> An Incarnation of TVG Framework<BR>Spatiosocial Characteristics of MSNs<BR> Node Locality<BR> Geographic Clustering Coefficient<BR>Conclusion<BR>References<BR><B><BR>User Behaviors and Interaction in MSNs<BR></B>Introduction<BR>Measuring and Characterizing User Interaction in MSNs<BR> Methodology of Measuring Users' Behaviors and Interactions<BR> Crowdsourcing-Based Measurement Architecture<BR> Experience Sampling Method for MSNs<BR> Various Features of Interactions in MSNs<BR> Connectivity and Interaction in Social Network<BR> Traffic Activities in Social Networks<BR> Locality of Interest and Navigation Characteristics<BR> Prediction of User Behavior in MSNs<BR> Prediction of User's Future Activity Level<BR> Geographical Prediction in MSN/OSN<BR>Modeling User Interactions in MSNs<BR> Multidimensional Characterizing of Human Mobility in MSNs<BR> An Integrated Behavior Model in MSNs<BR> Edge Creation<BR> Social Triadic Closure<BR> Triangle-Closing Models<BR> Mobility-Driven Closure<BR> Temporal Evolution<BR> Putting It All Together: New Models Emerging <BR>Motivating User Interaction in MSNs<BR>Conclusion<BR>References<BR><BR><B>Incentive Mechanisms in Mobile Social Networks<BR></B>Introduction<BR>Basic Concepts about Motivation Theories<BR> Motivation Approaches<BR> Economic View of Motivation: Example Design and Challenges<BR> Some Challenges in an Economic View of Motivation<BR> Behavioral Economics View of Motivation<BR> Motivation Theory from Psychology<BR> Future Trends<BR> Exploring Designs of Mechanisms Inspired by Theories of Motivation<BR> Personalized Incentive Mechanism Design<BR>Typical Incentive Schemes in MSNs<BR>Mobile Crowdsourcing Sensing in MSNs<BR>Conclusion and Future Directions<BR>References</P><P><B>Information Diffusion in Mobile Social Networks<BR></B>Introduction<BR>Information Diffusion Models<BR> General Threshold Model<BR> General Cascade Model<BR> Game Theory-Based Diffusion Model 5.3 Influence Maximization Problem<BR> Definition<BR> Existing Algorithms in Influence Maximization<BR> Greedy-Based Algorithms<BR> Heuristic Schemes<BR> Distributed Realization of Influence Maximization in MSNs<BR> Basic Concepts about Random Walk<BR> The Process of Distributed iWander Protocol Inspired by Random Walk<BR> The Evaluation of iWander<BR>Extensions to Influence Maximization<BR> Budget and Cost in Information Diffusion<BR> Competitive Information Diffusion<BR> Time-Critical Influence Maximization<BR>Conclusion<BR>References<BR><BR><B>Mobile Search and Ranking<BR></B>Introduction<BR>Some Challenges of Search and Ranking in MSNs<BR> Technological Factors<BR> Socioeconomic Factors<BR>Existing Schemes of Search and Ranking in MSNs<BR> A Preference-Enabled Querying Mechanism<BR> Related Work<BR> Architecture and Components<BR> Social Search Browser<BR> SSB Prototype<BR> Mobile Application<BR> Interactive Filters<BR>  
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|a Description based on CIP data; item not viewed.
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| 590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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| 650 |
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|a Mobile computing.
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| 650 |
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|a Online social networks.
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| 650 |
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|a Informatique mobile.
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| 650 |
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|a Réseaux sociaux (Internet)
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| 650 |
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|a Mobile computing.
|2 fast
|0 (OCoLC)fst01024221
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| 650 |
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7 |
|a Online social networks.
|2 fast
|0 (OCoLC)fst01741311
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| 700 |
1 |
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|a Ma, Jianhua,
|d 1962-
|e author.
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| 776 |
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8 |
|i Print version:
|z 9781466552753
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781466552753/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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| 994 |
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|a 92
|b IZTAP
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