Closer to Truth

🔸 Does ordinary stuff have mysterious properties? Take anything; find all its parts; combine those parts any way you like. What do you expect? Nothing at all like what you have. It's called "emergence" and it describes how wondrously our world works. But is it a real mystery?


@Radio_Complexity

🔹 If you use Twitter's API to gather data and would like to learn more about how to reconstruct Twitter's firehose, I have a preliminary paper I am working on that I'd like to make available for comments: https://t.co/kpSyEuaC57

If you use Twitter data -- READ THIS!

#bigdata

🔅 https://www.quantamagazine.org/smarter-parts-make-collective-systems-too-stubborn-20190226/

Good opportunity to work on #DataScience in Pisa, especially if you are interested in #SportsAnalytics and #ScienceOfSuccess! :-)

Last couple of days to apply to the first session of the #CallForApplication for the #PhD program in #DataScience, open for students of all disciplines
Deadline: 28 February 2019
#BigData #Call #Grant
https://t.co/zQQAvIGbTt

🔹 https://www.quantamagazine.org/ancient-turing-pattern-builds-feathers-hair-and-now-shark-skin-20190102/

#سمینار_عمومی
تحلیل بحران اقتصادی کشور با رویکرد فیزیک اقتصاد
دکتر سید علی حسینی

🎞 https://youtu.be/dGvcwgg_PDc

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🕸 SBU Center for Complex Networks & Social Data Science

🕸 @CCNSD 🔗 ccnsd.ir
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#سمینارهای_هفتگی
مرکز شبکه‌های پیچیده و علم‌داده اجتماعی دانشگاه شهید بهشتی (CCNSD)

📝 CCNSD Interdisciplinary Research Projects on Twitter, Arms Trade & Co-citation Maps

🗣 دکتر کوثر کریمی‌پور - CCNSD

⏰ دوشنبه، ۱۳ اسفند ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابن‌هیثم

⭕️ شرکت برای همه آزاد و رایگان است. برای هماهنگی‌ با مسئول جلسه‌ آقای محمدحسین حکیمی ‌تماس بگیرید:
📞 @mhakim

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🕸 SBU Center for Complex Networks & Social Data Science

🕸 @CCNSD 🔗 ccnsd.ir
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#کافه_فیزیک 🤗
سری #پنجم
#جلسه یازدهم 💫

آیا تا به حال فکر کرده‌اید چه فیزیک و ریاضی پیچیده‌ای در پس روابط انسان‌ها وجود دارد؟!
«بالانس تئوری» 🗓دوشنبه ۱۳ اسفند ۹۷
🕰ساعت ۱۷
📍دانشکده فیزیک بهشتی

منتظر حضور فیزیکیتون هستیم 😊☕️
❗️راستی لیوان شخصی یادتون نره! به احترام طبیعت 🙂 @sbu_physicscafe

Neurosexism: the myth that men and women have different brains
https://www.nature.com/articles/d41586-019-00677-x?sf208537564=1&fbclid=IwAR0EIWRwG_C6MMXt5xe-2qySa1vxVskYopFFYiUeCDZbryLGjhZzLIXp6JE

🧩 “The wisdom of the crowds” suggests that decentralized systems get smarter when they get bigger. But new research finds important exceptions to that rule.
https://t.co/5y3tcPbAH9

🔥 https://amp.thisisinsider.com/fractals-and-the-coast-of-great-britain-2019-2?__twitter_impression=true

The Conference Proceeding will be indexed in ISC

Deadline for registration and paper submission:

⭕️ March 19, 2019 (28 Esfand, 1397)

https://iasbs.ac.ir/seminars/condmat-meeting/m25/

🔅 https://www.artsy.net/article/artsy-editorial-artists-famous-friends-originality-work/

While past studies have suggested that there is a link between creativity and fame, Ingram and Banerjee found, in contrast, that there was no such correlation for these artists. Rather, artists with a large and diverse network of contacts were most likely to be famous, regardless of how creative their art was.


“An important implication of the paper is to show that diverse networks matter not only as a source of creativity…but could mean other benefits,” Ingram said. “That even aside from creativity…the artists benefit from the cosmopolitan identity.”

🔹 finally out:
"Scale-free networks are rare"

We thoroughly test the empirical ubiquity of 'scale-free networks' using a huge networks corpus, multiple evidence classes, and reliable stats tools

real networks are far more structurally diverse than claims of 'universality' can cover. We don't know what creates this diversity, but probably not any single mechanism. These findings bolster the need for new work figuring what mechanisms structure real networks.

#NatureComms https://t.co/60L2SbEVkh 1/3

Stanley, H. E., & Meakin, P. (1988). Multifractal phenomena in physics and chemistry. Nature, 335(6189), 405–409. doi:10.1038/335405a0

🔸 عناوین پیشنهادی برای پایان نامه دوره کارشناسی ارشد در زمینه سیستم‌های پیچیده - دکتر سید محمدصادق موحد

http://facultymembers.sbu.ac.ir/movahed/attachments/movahed_master_proposal_97.pdf

🗒 Phase transitions and asymmetry between signal comprehension and production in biological communication

 Mohammad Salahshour, Shahin Rouhani & Yasser Roudi 

🖇 https://www.nature.com/articles/s41598-019-40141-4

📌Abstract

We introduce a model for collective information acquisition from the environment, in a biological population. In this model, individuals can make noisy observations of the environment, and communicate their observation by production and comprehension of signals. As the communication noise decreases, the model shows an order-disorder transition from a disordered phase in which no consensus about the environmental state exists to an ordered phase where the population forms a consensus about the environmental state. The ordered phase itself is composed of an informed consensus, in which the correct belief about the environment prevails, and an uninformed consensus phase, in which consensus on a random belief about the environmental state is formed. The probability of reaching informed consensus increases with increasing the observation probability. This phenomenology implies that a maximum noise level, and a minimum observation probability are necessary for informed consensus in a communicating population. Furthermore, we show that the fraction of observant individuals needed for the group to reach informed consensus decreases with increasing population size. This results from a shift in the uninformed-informed transition to smaller observation probabilities by increasing population size. Importantly, we also find that an amount of noise in signal production deteriorates the information flow and the inference capability, more than the same amount of noise in comprehension. This finding implies that there is higher selection pressure to reduce noise in production of signals compared to comprehension. Regarding this asymmetry, we propose an experimental design to separately measure comprehension and production noise in a given population and test the predicted asymmetry.

🔅 https://www.nature.com/articles/s41467-019-09038-8

🧩 The politics of physicists social models

Jensen Pablo

https://arxiv.org/pdf/1903.00964.pdf

I give an overview of the topic of this special issue, the applications of (statistical) physics to social sciences at large. I discuss several examples of simple social models put forward by physicists and discuss their interest. I argue that while they may be conceptually useful to correct our intuitive models of social mechanisms, their relevance for real social systems is moot. What is more, since physicists have always needed to tame the world inside laboratories to make their models relevant, I suggest that social modeling might be linked to human taming, a smashing political project.