Information spread in a social media age : modeling and control /: modeling and control. (2021)

• Record Type: Book
• Further Information: Note: Michael Muhlmeyer, Shaurya Agarwal.
• Authors: Muhlmeyer, Michael; Agarwal, Shaurya
• Contents: 1 Introduction; 1.1 Expressions of Information; 1.2 Why Information Spread Matters?; 1.3 Modern Information Spread Scenarios; 1.4 Controllable Information Spread; 1.5 How to Read This Book; 1.6 Exercises I Understanding Social Networking Systems; 2 Social Media in Popular Culture; 2.1 The Topology of Social Media; 2.2 Social Networking Sites; 2.3 Content Sharing Sites; 2.4 Discussion Forums; 2.5 News and Blogs; 2.6 Shopping and Reviews; 2.7 Games and Music; 2.8 Hybrid Social Media; 2.9 Exercises 3 Social Theory and Networks; 3.1 Philosophy, Science, and Information Spread; 3.2 Social Theory and Social Networks; 3.3 Social Exchange Theory; 3.4 Exercises 4 Social Network Relationships and Structures; 4.1 Social Network Relationship Overview; 4.2 Core Social Network Relationships; 4.3 Homophily and Filter Bubbles; 4.4 Dyadic Relationships and Reciprocity; 4.5 Triads and Balanced Relationships; 4.6 Social Network Analysis Software; 4.7 Exercises 5 Social Network Analysis; 5.1 Density and Structural Holes; 5.2 Weak and Strong Ties; 5.3 Centrality and Distance; 5.4 Small World Networks; 5.5 Clusters, Cohesion, and Polarization; 5.6 The Adjacency Matrix; 5.7 Exercises II Macroscopic Modeling and Information Spread; 6 Modeling Basics; 6.1 What is a Model?; 6.2 Models in Decision Making; 6.3 Standard Models; 6.4 Models, Assumptions, and Approximations; 6.5 Mathematical Systems Modeling; 6.6 Microscopic and Macroscopic Models; 6.7 Basic Steps to Develop a Mathematical Model; 6.8 Model Validation; 6.9 Modeling and the State-Space Representation; 6.10 Example 1: A Spring-Mass System; 6.11 Example 2: A Predator-Prey System; 6.12 Example 3: An RLC Circuit; 6.13 Example 4: An Epidemic Model; 6.14 Example 5: Vehicular Traffic Modeling 7 Epidemiology-Based Models for Information Spread; 7.1 Epidemiology Models; 7.2 Information Spread Models: Overview and Conventions; 7.3 The Ignorant-Spreader (IS) Model; 7.4 The Ignorant-Spreader-Ignorant (ISI) Model; 7.5 The Ignorant-Spreader-Recovered (ISR) Model; 7.6 Reproductive Number and Herd Immunity; 7.7 ISR Model for Social Media; 7.8 ISCR Model for Contentious Information Spread; 7.9 Hybrid ISCR Model; 7.10 ISSRR Model for Contentious Information; 7.11 Exercises 8 Stochastic Modeling of Information Spread; 8.1 Brownian Motion; 8.2 Deterministic and Stochastic Realizations of Processes; 8.3 Stochastic Modeling Considerations for Social Media Systems; 8.4 Stochastic ISI Information Model; 8.5 Stochastic ISR Information Modeling and Social Media; 8.6 Exercises 9 Social Marketing-Based Models for Information Spread; 9.1 Vidale-Wolfe Model; 9.2 Bass Model; 9.3 Sethi Model; 9.4 Event-triggered Social Media Chatter Model; 9.5 Exercises 10 Case Studies; 10.1 Selecting Case Studies; 10.2 Case Study-1: 2017 Mass Shootings; 10.3 Case Study-2: The #MeToo Social Movement; 10.4 Case Study-3: 2018 Golden Globe Awards; 10.5 Case Study-4: Viral Internet Debates; 10.6 Exercises III Control Methods For Information Spread; 11 Control Basics; 11.1 Introduction; 11.2 Open-loop and Closed-loop Control Systems; 11.3 SISO and MIMO Control Systems; 11.4 Continuous-time and Discrete-time Control Systems; 11.5 Control System Design 12 Control Methods; 12.1 State Variable Feedback Controller; 12.2 PID Controller; 12.3 Optimal Control; 12.4 Exercises 13 Information Spread and Control; 13.1 Controlling Socio-technical Systems; 13.2 The Control Action and Social Media Systems; 13.3 Optimal Control and Social Media; 13.4 Exercises 14 Control Application 1: Advertisements and Social Crazes; 14.1 Scenario Description; 14.2 Problem Formulation; 14.3 Dynamic Programming Approach; 14.4 Pontryagin’s Approach; 14.5 Numerical Solution and Discussion 15 Control Application 2: Stopping a Fake News Outbreak; 15.1 Scenario Description; 15.2 Problem Formulation; 15.3 Pontryagin’s Approach; 15.4 Numerical Solution and Discussion 16 Concluding Thoughts; 16.1 What Have We Learned?; 16.2 But Now What?; 16.3 The Future and Beyond
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2021
• Extent: 1 online resource, illustrations
• Subjects: 302.231015118; Social media -- Mathematical models; Online social networks -- Mathematical models; Information technology -- Mathematical models; Disinformation -- Prevention
• Languages: English
• ISBNs: 9780429558870; 9780429554407; 9780429263842
• Related ISBNs: 9780367208714
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.