Advances in social networking research / Salvador Reese, editor.

Includes bibliographical references and index.

Description based on print version record and CIP data provided by publisher.

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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