Complex Systems Studies
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#complexity #complex_systems #networks #network_science

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THE #PHYSICS OF #INFORMATION
F. ALEXANDER BAIS AND J. DOYNE FARMER

http://arxiv.org/pdf/0708.2837v2.pdf
Control principles of complex systems

Yang-Yu Liu and Albert-László Barabási

http://journals.aps.org/rmp/abstract/10.1103/RevModPhys.88.035006
Complex Systems Studies
Control principles of complex systems Yang-Yu Liu and Albert-László Barabási http://journals.aps.org/rmp/abstract/10.1103/RevModPhys.88.035006
ABSTRACT
A reflection of our ultimate understanding of a complex system is our ability to control its behavior. Typically, control has multiple prerequisites: it requires an accurate map of the network that governs the interactions between the system’s components, a quantitative description of the dynamical laws that govern the temporal behavior of each component, and an ability to influence the state and temporal behavior of a selected subset of the components. With deep roots in dynamical systems and control theory, notions of control and controllability have taken a new life recently in the study of complex networks, inspiring several fundamental questions: What are the control principles of complex systems? How do networks organize themselves to balance control with functionality? To address these questions here recent advances on the controllability and the control of complex networks are reviewed, exploring the intricate interplay between the network topology and dynamical laws. The pertinent mathematical results are matched with empirical findings and applications. Uncovering the control principles of complex systems can help us explore and ultimately understand the fundamental laws that govern their behavior.
AN INTRODUCTION TO
#ECONOPHYSICS
Correlations and Complexity in Finance

ROSARIO N. #MANTEGNA
Dipartimento di Energetica ed Applicazioni di Fisica, Palermo University
H. EUGENE #STANLEY
Center for Polymer Studies and Department of Physics, Boston University

http://polymer.bu.edu/hes/book-mantegna00stanley.pdf
Interview with Eugene H. #Stanley
http://www.saha.ac.in/cmp/camcs/Stanley-interview.pdf

#Econophysics

Dr. Eugene H. Stanley (1941–) is one of the most influencing figures in the discipline of #Econophysics. He was born in Oklahoma City, U.S. and was awarded the Ph.D. in physics at Harvard University. In 1976 he joined Boston University as Professor of Physics, and was promoted to Professor of Physiology and University Professor, in 1978 and 1979, respectively. In 2007 he was offered joint appointments with the Chemistry and Biomedical Engineering Departments, and in 2011 he was made William Fairfield Warren Distinguished Professor.
Probability & Stats 3: Markov Chains & Stochastic Processes
Course Description

In this third and final series on Probability and Statistics, Michel van Biezen introduces Markov chains and stochastic processes and how it predicts the probability of future outcomes.

https://cosmolearning.org/courses/probability-stats-3-markov-chains-stochastic-processes/
Introduction to conformal field theory: Liouville model

https://www.lektorium.tv/course/22819?id=22819
#سلسله_سمینارهای_هفتگی گروه سیستم های پیچیده شهید بهشتی
« بررسی اثر ساختار بر خودساماندهی بحرانی »
مصطفی جان نثاری، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 4 مهر، ساعت 16 کلاس 1 دانشکده فیزیک

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