TY  - BOOK
AU  - Reese,Salvador
TI  - Advances in social networking research
T2  - Media and communications: technologies, policies and challenges
SN  - 9781634852432
AV  - HM742 
U1  - 302.30285 23
PY  - 2016///]
CY  - Hauppauge, New York
PB  - Nova Science Publishers, Inc.
KW  - Online social networks
KW  - Research
KW  - Information technology
KW  - Réseaux sociaux (Internet)
KW  - Recherche
KW  - Technologie de l'information
KW  - PSYCHOLOGY
KW  - Social Psychology
KW  - bisacsh
KW  - fast
KW  - Electronic books
N1  - Includes bibliographical references and index; ADVANCES IN SOCIAL NETWORKING RESEARCH; ADVANCES IN SOCIAL NETWORKING RESEARCH; Library of Congress Cataloging-in-Publication Data; CONTENTS; PREFACE; Chapter 1: NETWORK THEORY APPLIED TO INFORMATION AND COMMUNICATION TECHNOLOGIES: ADVANCES IN TYPOLOGY; ABSTRACT; INTRODUCTION; METHODS; Input-Output Model; Network Metrics; RESULTS; CONCLUSION; REFERENCES; BIOGRAPHICAL SKETCH; Chapter 2: A CHARACTERISTIC-BASED SIMILARITY ALGORITHM FOR FINDING SIMILAR USERS IN A SOCIAL NETWORK; ABSTRACT; 1. INTRODUCTION; 2. RELATED WORKS; 3. CHARACTERISTICS ASSOCIATED WITH AN INDIVIDUAL; 4. SIMILARITY BETWEEN TWO INDIVIDUALS BASED ON THEIR CHARACTERISTICS4.1. Similarity Level between Two Individuals Based on One of Their Characteristics; 4.2. Similarity Level between Two Individuals Based on All of Their Characteristics; 4.3. Similarity Level between Two Individuals Considering Weighs; 4.4. System Architecture; 5. ALGORITHM TO OBTAIN THE MOST SIMILAR COUPLE TO ANOTHER IN A SOCIAL NETWORK; CONCLUSION AND FUTURE WORKS; REFERENCES; Chapter 3: MODELING AND CONTROL OF USER INTEREST DICTATED INFORMATION DISSEMINATION IN COMMUNICATIONS AND SOCIAL NETWORKS; Abstract; 1. Introduction; 2. Mathematical Modeling of User Behavior3. Modeling of Information Propagation in Social Networks; 3.1. Information Epidemics; 3.2. Evolutionary Game Theory; 4. Information Propagation in Social Networks under Evolving Users' Interests Using EpidemicModeling; 4.1. Examples of Forms of User Interest Functions; 4.1.1. Periodic Users' Interests; 4.1.2. Information Diffusion Dynamics among Groups with Different Characteristics; 4.1.3. Increasing vs. Decreasing Users' Interest; 5. Information Propagation in Social Networks under Evolving Users' Interests Using EGT Modeling; 6. Framework for Optimally Controlling Information Propagation in Social Networks under Evolving Users' Interests6.1. Control Framework Assuming Epidemic Based Modeling of Information Propagation; 6.2. Control Framework Assuming EGT Based Modeling of Information Propagation; 6.2.1. Scheme 1: Optimal Control of Useful Information Propagation Based on EGT over a Finite Horizon; 6.2.2. Scheme 2: Optimal Control of Useful Information Propagation Based on EGT on per Time Instance Basis; 7. Indicative Evaluation Results of User Interest Dictated Information Diffusion Modeling Approaches in Social Networks7.1. Evaluation of the Information Diffusion and Control in Social Networks Based on Epidemic Modeling; 7.2. Information Diffusion in Twitter Considering User Interest; Conclusion; Acknowledgments; References; Chapter 4: 24/7 EMPOWERED LEARNING IN SOCIALLY NETWORKED SPACES FOR TEACHER PROFESSIONAL DEVELOPMENT; ABSTRACT; GUIDING PREMISE; INTRODUCTION; The Link between Social Networking and Professional Development; ELABORATIONS OF SOCIAL NETWORKING
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ER  -