Complex Systems Studies

🔹 http://ncase.me/crowds/

🔹 Computational Methods in Physics Department of Physics, Sharif University of Technology, Fall 2017 Lecture Notes are available in Farsi. Here is the list of released ones: http://sharifcompphys.ir/course-materials/lecture-notes/ Introduction Fractals Surface Growth Percolation Random Walk Random Number Generation Integrating The Metropolis Algorithm Canonical Ensemble Ising Model

powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions https://pypi.org/project/powerlaw/

🍄 https://comdig.unam.mx/2018/06/01/the-biology-of-consciousness-from-the-bottom-up/amp/?__twitter_impression=true

🔖 Multichannel social signatures and persistent features of ego networks Sara Heydari, Sam G. Roberts, Robin I. M. Dunbar, and Jari Saramäki 🔗 https://rdcu.be/QmwK 📌 ABSTRACT The structure of egocentric networks reflects the way people balance their need for strong, emotionally intense relationships and a diversity of weaker ties. Egocentric network structure can be quantified with ’social signatures’, which describe how people distribute their communication effort across the members (alters) of their personal networks. Social signatures based on call data have indicated that people mostly communicate with a few close alters; they also have persistent, distinct signatures. To examine if these results hold for other channels of communication, here we compare social signatures built from call and text message data, and develop a way of constructing mixed social signatures using both channels. We observe that all types of signatures display persistent individual differences that remain stable despite the turnover in individual alters. We also show that call, text, and mixed signatures resemble one another both at the population level and at the level of individuals. The consistency of social signatures across individuals for different channels of communication is surprising because the choice of channel appears to be alter-specific with no clear overall pattern, and ego networks constructed from calls and texts overlap only partially in terms of alters. These results demonstrate individuals vary in how they allocate their communication effort across their personal networks and this variation is persistent over time and across different channels of communication. #Social_signatures, #Social_networks, #Egocentric_networks, #Mobile_phones

سرفصل‌ درس‌های گرایش علوم داده، مصوب وزارت علوم

به اطلاع دانشجویان گرامی می‌رسانیم، گروه ریاضی کاربردی و صنعتی دانشگاه شهید بهشتی از مهر ۱۳۹۷ در گرایش علوم داده دانشجوی کارشناسی ارشد می‌پذیرد.

🔹 Master in Physics of Complex Systems: The registration and enrolment period has begun. You can register using the form at the website https://t.co/nwuLndIwgE Further information about the program and our fellowships can be found at https://t.co/OM3LwFP2N9 https://t.co/JzO4YGhr5p

دانشگاه شهیدبهشتی و دانشگاه الزهرا (ویژه دختران) امسال دوره کارشناسی ارشد فیزیک با گرایش «فیزیک آماری و سیستم‌های پیچیده» ارائه می‌کنند.

🔖 A Mini-Introduction To Information Theory 🙋🏻‍♂ Edward Witten 🔗 https://arxiv.org/pdf/1805.11965 📌 ABSTRACT This article consists of a very short introduction to classical and quantum information theory. Basic properties of the classical Shannon entropy and the quantum von Neumann entropy are described, along with related concepts such as classical and quantum relative entropy, conditional entropy, and mutual information. A few more detailed topics are considered in the quantum case.

As #ICCS2018 approaches, here is a list of "significant points" to ponder in the study of complex systems. In order to help establish a backdrop for the ICCS conferences, I have compiled (with much feedback and contributions from others) a list of "significant points" in the study of complex systems. These are supposed to represent key conceptual insights coupled with mathematical tools for the analysis and discussion of complex systems in general. Feedback and additions are welcome. The points are provided only in brief. In general some familiarity is assumed. Some controversial points are included (what field has no controversy?). Y. Bar-Yam http://www.necsi.edu/guide/points.html?platform=hootsuite

برسانید به دست کسانی که کنکور کارشناسی داده‌اند: 📢 چهارسال فیزیک! چهارسال گذشت و دوره کارشناسی فیزیک من تموم شد. چهارسال پر از فراز و نشیبی که با تمام لذت‌ها و هیجان‌ها، سختی‌ها و فشارها بالاخره به پایان رسید (من ورودی ۹۱ فیزیک دانشگاه شهیدبهشتی بودم). قصد دارم طی این نوشته، تجربه‌های خودم از دوران کارشناسی فیزیک رو بنویسم. امیدوارم این نوشته‌ برای کسایی که قصد دارن فیزیک رو به صورت آکادمیک شروع کنن و برای کسانی که به تازگی وارد فیزیک شدن مفید واقع بشه! 🔗 http://www.sitpor.org/2016/06/bachelor-of-science-in-physics/

توی این کار نشون دادن هرچی در دانشگاه خوش آوازه‌تری مشغول باشی، شانس بیشتری داری که حرفت شنیده بشه! 🔖 Prestige drives epistemic inequality in the diffusion of scientific ideas Allison C. Morgan, Dimitrios Economou, Samuel F. Way, Aaron Clauset 🔗 arxiv.org/pdf/1805.09966v1.pdf 📌 ABSTRACT The spread of ideas in the scientific community is often viewed as a competition, in which good ideas spread further because of greater intrinsic fitness. As a result, it is commonly believed that publication venue and citation counts correlate with importance and impact. However, relatively little is known about how structural factors influence the spread of ideas, and specifically how where an idea originates can influence how it spreads. Here, we investigate the role of faculty hiring networks, which embody the set of researcher transitions from doctoral to faculty institutions, in shaping the spread of ideas in computer science, and the importance of where in the network an idea originates. We consider comprehensive data on the hiring events of 5,032 faculty at all 205 Ph.D.-granting departments of computer science in the U.S. and Canada, and on the timing and titles of 200,476 associated publications. Analyzing three popular research topics, we show empirically that faculty hiring plays a significant role in driving the spread of ideas across the community. We then use epidemic models to simulate the generic spread of research ideas and quantify the consequences of where an idea originates on its longterm diffusion across the network. We find that research from prestigious institutions spreads more quickly and completely than work of similar quality originating from less prestigious institutions. Our analyses establish the theoretical trade-offs between university prestige and the quality of ideas necessary for efficient circulation. These results suggest a lower bound for epistemic inequality, identify a mechanism for the persistent epistemic advantage observed for elite institutions, and highlight limitations for meritocratic ideals.

Everything you ever wanted to know about controlling your brain (ok, let's settle on a worm for now, no offense...). FAQ about Brain Control here: https://t.co/AM8YGMZuMu https://t.co/QCmIE6OFuR

📈 MCMC sampling for dummies http://twiecki.github.io/blog/2015/11/10/mcmc-sampling/

🔹 PhD Fellowship in Tensor Networks/Hamiltonian Complexity http://deepquantum.ai/phd-fellowship-in-tensor-networks-hamiltonian-complexity/ 🤹‍♂ Experience in quantum theory/computing is not required. Students who have completed or are nearing completion of a masters degree with backgrounds in an area of mathematical sciences with interest in quantum computing are encouraged to apply.