Network Science Models for Data Analytics Automation: Theories and Applications (Automation, Collaboration, & E-Services, 9)

✍ Scribed by Xin W. Chen

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 126
• Category: Library

✦ Synopsis

This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The book not only dissects modeling techniques and analytical results but also explores the intrinsic development of these models and analyses. This unique approach bridges the gap between theory and practice and channels’ managerial and problem-solving skills.

Engineers, researchers, and managers would benefit from the extensive theoretical background and practical examples discussed in this book. Advanced undergraduate students and graduate students in mathematics, statistics, engineering, business, public health, and social science may use this book as a one-semester textbook or a reference book. Readers who are more interested in applications may skip Chapter 1 and peruse through the rest of the book with ease.

✦ Table of Contents

Contents
1 Network Science Models
1.1 Network Science Models
1.2 Network Metrics
1.3 Node and Link Metrics
1.4 Phase Transition in Networks
1.5 Challenges in Network Modeling of Complex Systems
References
2 Interdependent Critical Infrastructures
2.1 Expert System Modeling and Analysis of Human and Social Resilience
2.2 Interdependencies and Critical Components
2.3 Networked Constraints
2.4 Distributed Collaborative Decision Making
2.5 An Example of Three ICIs
2.5.1 Smart Electric Power Grid
2.5.2 Multimodal Transportation Network
2.5.3 Water-Related Infrastructures
2.6 Conclusions and Recommendations
References
3 Public Health
3.1 Process and Tools for Modeling Public Health Networks
3.1.1 Design of Network Metrics
3.1.2 Complex Network Theory and Structural Search
3.2 Conflict and Error Detection in Health Insurance Claims
3.2.1 Management of Health Insurance Claim Denials
3.2.2 A Case Study of Insurance Claim Denial
3.2.3 Modeling Conflicts and Errors in Health Insurance Claims
References
4 Smart and Autonomous Power Grid
4.1 Smart and Autonomous High-Power Converter
4.2 Weather-Proof Smart Grid
4.3 Integration of High-Power Converters and Weather-Proof Smart Grid
References
5 Water Distribution Systems
5.1 Design and Maintenance of WDS
5.2 Data and Web Mining of the WDS in Washington D.C., U.S.: A Case Study
5.2.1 Water Supply in D.C.
5.2.2 The D.C. WDS
References
6 Transportation Systems
6.1 Connected Autonomous Vehicles
6.1.1 Centralized Network Control with Decentralized Collision Avoidance
6.1.2 Centralized Control with Backup Decentralized Control
6.1.3 Mixed Centralized and Decentralized Control
6.1.4 Mostly Decentralized Control with Centralized Scheduling
6.1.5 Fully Decentralized Control
6.2 Freight Transportation Using Railroad Networks
6.2.1 Scheduling of Railcars
6.2.2 Impact of Weather on Railroad Operations
6.2.3 Railroad Transportation of Hazardous Materials
6.3 Airport Traffic Control
6.3.1 Congestion and Choke Points
6.3.2 Airport Capacity Utilization, Delays, and Congestion
6.3.3 Methods of Airport Traffic Control and Runway Traffic Optimization
References
7 Adaptive Algorithms for Knowledge Acquisition Over Complex Networks
7.1 Strengths and Limitations of Knowledge Management and Web Mining
7.2 Complex Networks
7.3 Network-Adaptive Algorithms
7.4 Development of Knowledge Acquisition Algorithms
References
Index