Complex Network Theory | Application - IIT Kharagpur

Comprehensive overview of complex network theory and its real-world applications in fields like social networks, transportation, and biology.

Introduction

This course provides a comprehensive overview of complex network theory and its applications. It covers the fundamental concepts, analysis techniques, and real-world examples of complex networks, which have become increasingly important in various fields, such as social networks, transportation systems, and biological systems.

Highlights

• Covers the theoretical foundations of complex network analysis, including graph theory, network metrics, and community detection.
• Explores the dynamics and evolution of complex networks, including the study of network growth, robustness, and resilience.
• Discusses the applications of complex network theory in diverse domains, such as social networks, transportation, epidemiology, and neuroscience.
• Provides hands-on experience with network analysis tools and techniques through practical assignments and projects.

Recommendation

This course is recommended for students, researchers, and professionals interested in understanding the principles and applications of complex network theory. It is particularly relevant for those working in fields such as data science, computer science, physics, sociology, and systems biology, where the analysis of complex networks is crucial.