The book blends theory with practical examples, providing a solid grounding in graph theory, probability, and algorithmic techniques while also exploring modern topics such as random graph models, network dynamics, and community detection. | Aspect | Details | |------------|--------------| | Title | Network Theory | | Author | Smarajit Ghosh | | Publisher | (Typically) Springer / CRC Press (verify the latest edition) | | Edition | 1st edition (published 2020) – check for newer editions | | Length | ~ 500 pages (including exercises and references) | | Target Audience | Upper‑level undergraduates, graduate students, and researchers in CS/EE/Applied Math | | Prerequisites | Basic linear algebra, probability, and introductory discrete mathematics | | ISBN | 978‑... (consult the publisher’s website for the exact number) | 3. Table of Contents (High‑Level) Below is a concise outline of the major sections and topics covered in the book. The exact chapter titles may vary slightly between editions.