Introducing the reader to the mathematics beyond complex networked systems, these lecture notes investigate graph theory, graphical models, and methods from statistical physics. Complex networked systems play a fundamental role in our society, both in everyday life and in scientific research, with applications ranging from physics and biology to economics and finance.
The book is self-contained, and requires only an undergraduate mathematical background.
Introducing the reader to the mathematics beyond complex networked systems, these lecture notes investigate graph theory, graphical models, and methods from statistical physics. Complex networked systems play a fundamental role in our society, both in everyday life and in scientific research, with applications ranging from physics and biology to economics and finance.
The book is self-contained, and requires only an undergraduate mathematical background.
Includes a tutorial overview on random graphs, with rigorous mathematical results Applies statistical physics methods to distributed algorithms Introduces the reader to graphical models and message-passing algorithms Presents the information theoretic aspects of wireless communication networks Includes supplementary material: sn.pub/extras