Statistical Physics of Complex Systems : A Concise Introduction This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and methods from statistical physics to the modeling of complex systems. These include avalanche dynamics in materials models of social agents like road traffic or wealth repartition the real space aspects of biological evolution dynamics propagation phenomena on complex networks formal neural networks and their connection to constraint satisfaction problems. This course tested textbook provides graduate students and non specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences including selected aspects of theoretical modeling in biology and the social sciences. It covers topics such as non conserved particles evolutionary population dynamics networks properties of both individual and coupled simple dynamical systems and convergence theorems as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. The original spirit of the book is to remain accessible to a broad non specialized readership. The format is a set of concise modular and self contained topical chapters avoiding technicalities and jargon as much as possible and complemented by a wealth of worked out examples so as to make this work useful as a self study text or as textbook for short courses. Chapter 1. Equilibrium Statistical Physics Chapter 2. Non equilibrium Dynamics and Stochastic Formalism Chapter 3. Models of particles driven out of equilibrium Chapter 4. Simple models of socials agents Chapter 5. Evolutionary dynamics Chapter 6. Complex networks Chapter 7. Statistical description of chaotic deterministic systems Chapter 8. A probabilistic viewpoint on fluctuations and rare events.