💰 3-year postdoc position in ecological networks with @Falk_tw @TheQuadram. Applications open until April 23. See https://t.co/5bJF91udHI for details.

🔸 "Higher-Order Interaction Networks: Dynamics, Structure, Data": https://t.co/76FT8cwrpf

Mathematical Institute, University of Oxford, 9–11 Sept 2019

Goal: Bring together researchers from different communities with distinct perspectives on network dynamics

🔸 Want to learn about "Jujujajaki networks"? - You can explore them here:

https://t.co/751zqlD1q7.

🎞 https://www.aparat.com/v/KXuQ3

Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions
Simon DeDeo

https://www.mdpi.com/1999-5903/8/3/31/htm

Abstract:
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group of individuals across it? Taking Wikipedia as a test case, we use a hidden Markov model to approximate the computational structure and social grammar of more than a decade of cooperation and conflict among its editors. Across a wide range of pages, we discover a bursty war/peace structure where the systems can become trapped, sometimes for months, in a computational subspace associated with significantly higher levels of conflict-tracking “revert” actions. Distinct patterns of behavior characterize the lower-conflict subspace, including tit-for-tat reversion. While a fraction of the transitions between these subspaces are associated with top-down actions taken by administrators, the effects are weak. Surprisingly, we find no statistical signal that transitions are associated with the appearance of particularly anti-social users, and only weak association with significant news events outside the system. These findings are consistent with transitions being driven by decentralized processes with no clear locus of control. Models of belief revision in the presence of a common resource for information-sharing predict the existence of two distinct phases: a disordered high-conflict phase, and a frozen phase with spontaneously-broken symmetry. The bistability we observe empirically may be a consequence of editor turn-over, which drives the system to a critical point between them.


Keywords:
conflict; cooperation; finite-state machine; tit-for-tat; critical transition; hidden Markov model; memory; social norms; knowledge commons; Wikipedia

Group Minds and the Case of Wikipedia
Simon DeDeo

https://arxiv.org/pdf/1407.2210

Abstract:
Group-level cognitive states are widely observed in human social systems, but their discussion is often ruled out a priori in quantitative approaches. In this paper, we show how reference to the irreducible mental states and psychological dynamics of a group is necessary to make sense of large scale social phenomena. We introduce the problem of mental boundaries by reference to a classic problem in the evolution of cooperation. We then provide an explicit quantitative example drawn from ongoing work on cooperation and conflict among Wikipedia editors, showing how some, but not all, effects of individual experience persist in the aggregate. We show the limitations of methodological individualism, and the substantial benefits that come from being able to refer to collective intentions, and attributions of cognitive states of the form "what the group believes" and "what the group values".

🔸 https://www.quantamagazine.org/the-math-that-tells-cells-what-they-are-20190313/

🎞
Complex Time: A SFI/JSMF Research Theme

https://www.aparat.com/v/KXuQ3

🧩 https://www.nature.com/articles/s41567-019-0459-y

🎞 A series on linear regression (super relevant to ML), I think inspired by the 3b1b one on linear algebra: https://t.co/u6dL5v9jZS

🔸 Insightful thread by Hiroki Sayama on where #networkscience is headed to, after listening to many young network scientists at #complenet19!

https://threadreaderapp.com/thread/1108822448559001601.html

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

❗️❗️❗️hiring: postdoc @CUBoulder in Science of Science❗️❗️❗️

Dear friends,

Dan Larremore and I are looking to hire a postdoc to work on an exciting and interdisciplinary project at the intersection of Computational Social Science, the Science of Science, Statistical Inference, Dynamical Systems, and Theoretical Ecology. We are particularly interested in young scholars who are broad thinkers with high scientific standards, and who have strong mathematical, data, and/or computing backgrounds. The project is joint with Jen Dunne and Mirta Galesic at the Santa Fe Institute.

Below is a text version of our ad. Initial deadline is April 15, and the application URL is below.

Would you mind helping us circulate this ad widely? And, if you know if specific people who would be great, please let us know!

Sincerely,
Aaron Clauset

Associate Professor
Department of Computer Science, and
BioFrontiers Institute, at
University of Colorado Boulder, and
External Faculty at Santa Fe Institute

----------------------------

The research groups of Profs. Daniel Larremore and Aaron Clauset at the University of Colorado Boulder seek exceptional candidates for a postdoctoral research associate, to work on an innovative project at the intersection of Computational Social Science, the Science of Science, Statistical Inference, and Dynamical Systems. The initial term of the position is one year, with the possibility of up to two renewals, and will begin no later than August 2019. The project will include collaborations with Prof. Jen Dunne and Prof. Mirta Galesic at the Santa Fe Institute.

Ideal candidates will have a strong mathematical, statistical, and computing background; a strong track record of innovative research and publications in selective venues; and expertise in computational social science and data science. The project will focus on developing new statistical and mathematical models of the causal forces that shape the structure and dynamics of the scientific workforce, spanning individual researchers and their careers, competition among departmental units, and the evolution of entire fields. Our main tools are probabilistic models, random walks, causal inference, and statistical algorithms, coupled with ideas from statistical physics and ecology. Familiarity with one or more of these techniques is desirable, but is not a requirement.

Qualifications:
-- a Ph.D. (or equivalent) in Applied Mathematics, Computer Science, Statistics, or Physics, or in a quantitative branch of Ecology, Sociology, or Computational Social Science, or in a similar field, conferred no later than August, 2019;
-- education or training in statistics, data analysis, and programming;
-- strong verbal and written communication and presentation skills;
-- a commitment to working in an interdisciplinary and collaborative environment.

Applicants should submit the following:
-- a 1-page cover letter that succinctly describes your background and qualifications, and lists two published papers that illustrate your track record, 
-- a full curriculum vitae (CV),
-- a 2-page statement of research interests and accomplishments, and 
-- contact information for at least 3 references

Applications are submitted via https://jobs.colorado.edu/jobs/JobDetail/?jobId=16885 . Full consideration will be given to complete applications received before April 15, 2019.

For additional information, please contact Dan Larremore at daniel.larremore@colorado.edu or Aaron Clauset at aaron.clauset@colorado.edu with subject line "Science of Science Postdoc". Applications submitted via email will not be considered.

For more information about our groups, applicants should visit http://danlarremore.com and http://santafe.edu/~aaronc/.

🎞 'Tips and Tricks for Machine Learning' a live presentation from #KaggleDays Paris by Kaggle Grandmaster Stanislav Semenov.

https://t.co/yOoVKPL0Z0 //

Join us for a Workshop on "Higher-Order Interaction Networks" at @OxUniMaths on Sept 9-11, 2019!

Visit https://t.co/dXnXUtylwO for more information and to register your interest.

🔸 Workshop: Oscillations, Transients and Fluctuations in Complex Networks (OTFCN)

July 1–3, 2019
Copenhagen, Denmark

For more information on the workshop, see: https://t.co/LX8M9tG0Jx

Deadlines:
- abstract submission (talks/posters): April 14, 2019
- registration: May 1, 2019

🎞 https://youtu.be/wV1mWE8Zyi0

#فیلم سخنرانی‌های بیست‌و‌چهارمین مدرسه‌ی فیزیک

دکتر علی‌رضا ولی‌زاده

#فیلم سخنرانی‌های بیست‌و‌چهارمین مدرسه‌ی فیزیک

دکتر غلامرضا جعفری ۱

#فیلم سخنرانی‌های بیست‌و‌چهارمین مدرسه‌ی فیزیک

دکتر غلامرضا جعفری ۲