Complex Systems Studies
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The structure and function of complex networks

M. E. J. Newman

Department of Physics, University of Michigan, Ann Arbor, MI 48109, U.S.A. and
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, U.S.A.
#سلسله_سمینارهای_هفتگی گروه سیستم های پیچیده شهید بهشتی از یکشنبه هفته آینده پیگیری خواهد شد.
«مدل Percolation در شبکه های واقعی»
پوریا ترنج، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 17 مرداد، ساعت 10:30صبح
سایت دانشکده فیزیک

حضور در این جلسات برای همه ی فعالان و علاقمندان آزاد است.
ضمنا علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده و یا در جلسه بصورت حضوری مطرح نمایند.
@onmjnl
The Omidyar Fellowship at the Santa Fe Institute (SFI) is unique among postdoctoral appointments. It offers early-career scholars the opportunity to join a collaborative research community that nurtures creative, transdisciplinary thought in pursuit of key insights about the complex systems that underlie science and society.

The Omidyar Fellowship at SFI offers you:

- transdisciplinary collaboration with leading researchers worldwide- up to three years in residence in Santa Fe, New Mexico- discretionary research and collaboration funds- competitive salary and generous benefits- a structured leadership training program- unparalleled intellectual freedom

The Institute has no formal programs or departments. Research is collaborative and spans the physical, natural, and social sciences. Most research is theoretical (SFI does not have lab facilities) and/or computational in nature, although some research includes an empirical component. SFI has 14 resident faculty, 100 external faculty, and averages 250 visitors per year. SFI's research themes and interests of its faculty and current fellows can be found at http://www.santafe.edu/research.

As thought leaders who shape the future of science, Omidyar Fellows participate in a unique training program structured to develop leadership skills throughout their three-year residencies and beyond.  The program focuses on sustained mentoring relationships with SFI resident and external faculty, skill development workshops, off-campus research and teaching experiences, and a variety of scholarly leadership and science management opportunities at SFI. 

Requirements:

- a Ph.D. in any quantitative discipline (within 6 years of the application deadline or by September 2017)- strong computational and quantitative skills- an exemplary academic record- a proven ability to work both independently and collaboratively- a demonstrated interest in multidisciplinary research- evidence of the ability to think outside traditional paradigms

Applications are welcome from:

- candidates from any country- candidates from any quantitative discipline- women and members of underrepresented groups are encouraged to apply

SFI is an Equal Opportunity Employer.

Application Materials:

Interested candidates must submit the following:

Curriculum vitae (including publications list).Statement of research interests (max. 2 pages) including a short description and justification of future research.Description of interest in SFI (max. 1 page) that describes your potential contribution to the SFI community and also the potential impact of SFI on your research. Please address one or more of the following: What kind of input from other fields would most impact your future research? What type of multidisciplinary workshop might you want to organize during your Fellowship? What aspects of your present or future research are difficult to pursue in a traditional academic environment?Three letters of recommendation from scholars who know your work. (The letters should be sent independent of the application. When you complete the online application, please provide e-mail addresses of your recommenders. SFI will contact them directly with instructions for submitting letters.)(Optional) A copy of one paper you have written in English, either published or unpublished.

  APPLY HERE Applications for the 2017 Omidyar Fellowships will be accepted online August 8 - October 30, 2016

Inquiries: email to ofellowshipinfo@santafe.edu

The Omidyar Fellowship at the Santa Fe Institute is made possible by a generous gift from Pam and Pierre Omidyar.



http://santafe.edu/education/fellowships/omidyar-postdoctoral/
What are Lyapunov exponents, and why are they interesting?
https://arxiv.org/abs/1608.02843

This expository paper, based on a Current Events Bulletin talk at the January, 2016 Joint Meetings, introduces the concept of Lyapunov exponents and discusses the role they play in three areas: smooth ergodic theory, Teichm\"uller theory, and the spectral theory of one-frequency Schr\"odinger operators. The inspiration for this paper is the work of 2014 Fields Medalist Artur Avila, and his work in these areas is given special attention.
#سلسله_سمینارهای_هفتگی گروه سیستم های پیچیده شهید بهشتی
«مدل Percolation در شبکه های واقعی جلسه ی دوم»
پوریا ترنج، دانشجوی ارشد سیستم های پیچیده، دانشگاه شهیدبهشتی
یکشنبه 24 مرداد، ساعت 13:30عصر
کلاس 1 دانشکده فیزیک

حضور در این جلسات برای همه ی فعالان و علاقمندان آزاد است.
ضمنا علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده و یا در جلسه بصورت حضوری مطرح نمایند.
Choosing Collaboration Partners. How Scientific Success in Physics Depends on Network Positions

Raphael H. Heiberger, Oliver J. Wieczorek


http://arxiv.org/abs/1608.03251
Phase transition from egalitarian to hierarchical societies driven by competition between cognitive and social constraints

Nestor Caticha, Rafael Calsaverini, Renato Vicente

https://arxiv.org/abs/1608.03637?utm_source=twitterfeed&utm_medium=twitter
Local equilibrium in bird flocks

http://www.nature.com/nphys/journal/vaop/ncurrent/pdf/nphys3846.pdf

Abstract

The correlated motion of flocks is an example of global order emerging from local interactions. An essential difference with respect to analogous ferromagnetic systems is that flocks are active: animals move relative to each other, dynamically rearranging their interaction network. This non-equilibrium characteristic has been studied theoretically, but its impact on actual animal groups remains to be fully explored experimentally. Here, we introduce a novel dynamical inference technique, based on the principle of maximum entropy, which accommodates network rearrangements and overcomes the problem of slow experimental sampling rates. We use this method to infer the strength and range of alignment forces from data of starling flocks. We find that local bird alignment occurs on a much faster timescale than neighbour rearrangement. Accordingly, equilibrium inference, which assumes a fixed interaction network, gives results consistent with dynamical inference. We conclude that bird orientations are in a state of local quasi-equilibrium over the interaction length scale, providing firm ground for the applicability of statistical physics in certain active systems.