همه دروغ می‌گویند!

https://bit.ly/2RxlWFm

کتاب EVERYBODY LIES یکی از کتاب‌های جذاب برای آشنایی با قابلیت‌های حوزه Big Data می‌باشد که توسط ست استفن‌دیویدویتز یکی از دانشمندان داده شرکت گوگل در جهت معرفی قابلیت‌های تحلیل‌داده منتشر گردیده است.

این محقق چهار سال را صرف تحلیل داده‌های ناشناس گوگل کرده است. تحقیقات او درباره موضوعاتی همچون بیماریهای روانی، سقط جنین، مذهب و پزشکی بوده است. او معتقد است که جستجوهای گوگل مهمترین پایگاه داده‌ای است که تاکنون در مورد روح و روان انسان وجود دارد.

در این کتاب مقایسه‌های مختلفی از جستجوهای کاربران موتور جستجو گوگل با نظرسنجی‌ها عمومی صورت گرفته است. نتایج این تحقیق نشان از وجود اختلاف میان این دو حوزه و ارزش تحلیل‌ اطلاعات در عصر جدید است.

در ادامه بخشی از توضیحات این کتاب آورده شده است:
همه دروغ می‌گویند. مردم در مورد اینکه چند بار به باشگاه می‌روند، قیمت کفش آنها چقدر است و کتاب‌هایی که می‌خوانند، دروغ می‌گویند. آنها سر کار نمی‌روند چون بیمار هستند، اما در واقع دروغ می‌گویند. آنها می‌گویند که با شما تماس می‌گیرند، اما نمی‌گیرند.

محور اصلی این کتاب جمله زیر می‌باشد:
آیا مردم در سرچ‌های خود در موتور جستجو گوگل نیز دروغ خواهد گفت؟!

پی‌نوشت:
1- اگر علاقه‌مند به شنیدن کتاب‌های صوتی و پادکست هستید می‌توانید خلاصه این کتاب را در اپیزود شماره 3 پادکست Bplus گوش دهید. در پست بعدی این پادکست قرار داده خواهد شد.

2-مطالعه این کتاب برای متخصصین جامعه‌شناسی، روان‌شناسی، مدیران و... بسیار مفید خواهد بود.

ارادتمند
محمدرضا محتاط

© @DataAnalysis
🎲 @ComplexSys

3:Everybody Lies اپیزود سوم پادکست بی‌پلاس

〽️The statistical mechanics of Twitter

🌐Paper : https://arxiv.org/abs/1812.07029
🎲 @ComplexSys
#Physics #Society #StatisticPhysics

🧶 http://nautil.us/issue/68/context/its-the-end-of-the-gene-as-we-know-it

The Korean Government just released DataKorea! DataKorea is built on DataUSA's open source code and includes many nice additions, such as the use of telco data to provide activity metrics for different places in major korean cities. Check it out!
https://t.co/ifyErmNzuU

"Surges of collective human activity emerge from pairwise correlations" has just been accepted at PRX (https://t.co/PBvvpF9BdK). We show that spikes of collective activity, from emails and private messages to face-to-face interactions and music streaming, can be predicted by a maximum entropy model that is only aware of pairwise correlations between individuals. Moreover, the functional interactions look very much like the networks of inter-human communication themselves!

IFISC announces the 2019 Colloquia on Complex Systems, a series of seminars by leading scientists in CS, starting on Jan 16. All seminars will be broadcasted via: https://t.co/QCCiNMgYB1

🌔 A Complete Tutorial to learn Data Science in R from Scratch https://t.co/SJalbK0TLg

🔸 داستان پیچیدگی: چرا بیشتر، متفاوت است؟
عباس کریمی

🍂 کنفرانس سار، پاییز ۹۷، موزه علم و فناوری

🎞 دانلود ویدیو: bit.ly/2VBQTaU
🔊 صوت: bit.ly/2Vv41hQ
🔖 اسلایدها: bit.ly/2SGkmhP
🎬 در آپارات: bit.ly/2RFW6iA

🔗 فایل‌ها در تلگرام: t.me/RadioPhysicsIr/128

#complex_systems #network_science #emergence #reductionism #cancer #more_is_different

http://sar.inmost.ir/

The statistical physics of real-world networks
“statistical physics approach and the null models for complex networks, focusing in particular on analytical frameworks that reproduce local network features”

https://t.co/bjZ6O487j7

😮 https://theweek.com/articles-amp/810303/physics-panic?__twitter_impression=true

Agent-based Crowd Simulation Considering Emotion Contagion for Emergency Evacuation Problem
Hamed Faroqi, Mohammad-Saadi Mesgari

bit.ly/2H6RWw8

🎞 http://caltech.edu/news/watson-lecture-preview-long-run-behavior-random-walks-84813?fbclid=IwAR3CncjfqQ-G5SVdwOgp8L8ot5_cAPwk1p63SMfEYCT5VoEHUJmDjg5_8G0

💥 Is there an infinite set that's bigger than the set of integers but smaller than the set of real numbers? Cantor guessed the answer is *no*. This guess, shown on the shirt below, is called the Continuum Hypothesis. Now it's been connected to #machine_learning!

https://t.co/lNIQzHrU4v

In 1938 Kurt Gödel showed the #Continuum_Hypothesis cannot be *disproved* using the standard axioms of set theory (the ZFC axioms).

In 1963 Paul Cohen showed the Continuum Hypothesis cannot be *proved* using these axioms!

Since the Continuum Hypothesis can neither be proved nor disproved using the standard axioms of set theory, we say it's "independent" of these axioms.

It's surprisingly useless: I've never seen an interesting question that it would settle, except itself.

But now 5 mathematicians working on machine learning have found an interesting question whose answer is "yes" if we assume there are *at most finitely many* cardinals of size between the cardinality of the integers and that of the reals, and *no* otherwise.

🔗 https://www.nature.com/articles/d41586-019-00083-3

The claim that there are at most finitely many cardinals intermediate in size between the integers and the reals is a variant of the Continuum Hypothesis, which is *also* independent of the usual axioms of set theory.

Let me call this variant Axiom Q.
There's an unknown probability measure P on some finite subset of the interval [0,1]. You get to see some number N of independent and identically distributed samples from P.

Your task: find a finite subset of [0,1] whose P-measure is at least 2/3.

Can you?

You can always succeed in doing this task if we assume Axiom Q , but you cannot if we assume the negation of Axiom Q.

So, your ability to carry out this task cannot be determined using the standard axioms of set theory!

Read the paper for details!
🧷 https://www.nature.com/articles/s42256-018-0002-3


The surprise is not that a question coming up in machine learning turns out to be independent of the standard axioms of set theory. Lots of interesting math questions are!

The surprise is that it could be settled by a variant of the Continuum Hypothesis!

🖇 https://threadreaderapp.com/thread/1083047483368890368.html

This free course on #fractals starts in 5 days, open to anyone with basic #math skills.

You don't even have to be an academic. That's part of our ethos: making a world-class #complex #systems education available to anyone with an internet connection.

https://t.co/s1DWIcJZln

🎞 These “excitable” bee waves obey the same math as electrical waves in nerve & heart tissue and BZ chem reaction. https://t.co/5rs9CmwneL

💥 “One of the problems network science sets out to solve is to find important nodes. Of course, what is important depends on the context....”
New blog entry:
https://t.co/AIf8QXHtun

🌱 https://physics.aps.org/articles/v12/2