Dear SFI Community,

We are pleased to announce our 2017 Complex Systems Summer School. But we need your help. If you know graduate students and postdocs who might be interested in becoming a Complexity Scholar, please forward this email to them. Below is some information about the 2017 CSSS, including the fast-approaching January 23 application deadline. Thank you for being an ambassador of SFI and complex systems science.

The Complex Systems Summer School offers an intensive four week introduction to complex behavior in mathematical, physical, living, and social systems for graduate students, postdoctoral fellows, and professionals in the sciences and social sciences. The school is for participants who seek background and hands-on experience to help them prepare to conduct interdisciplinary research in areas related to complex systems.

Application deadline: January 23, 2017

Who is eligible: Graduate students and postdoctoral fellows in any discipline. Proficiency in English is required.

APPLY NOW HERE
https://sficsss.fluidreview.com/

Further information about the program can be found on our website.
http://tuvalu.santafe.edu/events/workshops/index.php/Complex_Systems_Summer_School_2017_(CSSS)

🔴 Check these out:

http://tuvalu.santafe.edu/events/workshops/index.php/Complex_Systems_Summer_School_2016-Faculty_Publications

http://tuvalu.santafe.edu/events/workshops/index.php/Complex_Systems_Summer_School_2016-Lecture_Slides

📃 Group Minds and the Case of Wikipedia
Simon DeDeo

https://arxiv.org/abs/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".

📃 Phase Transitions in Community Detection and Clustering
Cristopher Moore, Santa Fe Institute

tuvalu.santafe.edu/events/workshops/images/b/b4/Csss16-networks.pdf

💡 Information and links to courses related to Complex Systems:

https://www.complexityexplorer.org/explore/syllabi

💡Resources for Complex Systems:

https://www.complexityexplorer.org/explore/resources

📽 32 Video Lectures:
Natural Computation and Self-Organization: The Physics of Information Processing in Complex Systems

https://www.youtube.com/playlist?list=PL4JWtHLBcsYelD-4hJRYL4g521H3Sp3ll

#سلسله_سمینارهای_هفتگی گروه سیستم های پیچیده شهید بهشتی
علاقه مندان می توانند برای ارائه موضوعات خود به ادمین پیام داده یا به صورت حضوری در جلسه مطرح نمایند.
@onmjnl

کلیدواژه ها:
#سیستم_پیچیده ، #بحران_مالی، #نظریه_اطلاعات، #آنتروپی_انتقال، #مدل_گرافیکی، #دینامیک_غیرخطی

🔵 https://agilience.com/en/document/en3495e91e51c2ffd16980244cdc99a383c650ab83

🔵 Complex systems Winter School 2017:
Early Registration Deadline on Nov. 2

http://necsi.edu/education/school.html

📝 Social Network Analysis Reveals Potential Fission-Fusion Behavior in a Shark

Danielle E. Haulsee, Dewayne A. Fox[…]Matthew J. Oliver

📌Abstract
Complex social networks and behaviors are difficult to observe for free-living marine species, especially those that move great distances. Using implanted acoustic transceivers to study the inter- and intraspecific interactions of sand tiger sharks Carcharias taurus, we observed group behavior that has historically been associated with higher order mammals. We found evidence strongly suggestive of fission-fusion behavior, or changes in group size and composition of sand tigers, related to five behavioral modes (summering, south migration, community bottleneck, dispersal, north migration). Our study shows sexually dimorphic behavior during migration, in addition to presenting evidence of a potential solitary phase for these typically gregarious sharks. Sand tigers spent up to 95 consecutive and 335 cumulative hours together, with the strongest relationships occurring between males. Species that exhibit fission-fusion group dynamics pose a particularly challenging issue for conservation and management because changes in group size and composition affect population estimates and amplify anthropogenic impacts.

http://www.nature.com/articles/srep34087

Wanna do PhD on the Internet in "best university of the world"? Apply by Jan-20

http://www.ox.ac.uk/admissions/graduate/courses/dphil-information-communication-and-social-sciences

📽 https://www.youtube.com/shared?ci=otyBaoOnmj0

📝 Encoding Temporal Markov Dynamics in Graph for Time Series Visualization

https://arxiv.org/abs/1610.07273

📌ABSTRACT:
Time series is attracting more attention across statistics, machine learning and pattern recognition as it appears widely in both industry and academia, but few advances has been achieved in effective time series visualization due to its temporal dimensionality and complex dynamics. Inspired by recent effort on using network metrics to characterize time series for classification, we present an approach to visualize time series as complex networks based on first order Markov process and temporal ordering. Different to classical bar charts, line plots and other statistics based graph, our approach delivers more intuitive visualization that better preserves both the temporal dependency and frequency structures. It provides a natural inverse operation to map the graph back to time series, making it possible to use graph statistics to characterize time series for better visual exploration and statistical analysis. Our experimental results suggest the effectiveness on various tasks such as system identification, classification and anomaly detection on both synthetic and the real time series data.

What is your field of study?

Physics, MS – 21
👍👍👍👍👍👍👍 53%

Physics, BS – 7
👍👍 18%

Other – 6
👍👍 15%

Physics, PhD – 2
👍 5%

Biology – 2
👍 5%

I am a professor of Physics. – 1
▫️ 3%

Not a professor or a student! – 1
▫️ 3%

Mathematics
▫️ 0%

Economy
▫️ 0%

👥 40 people voted so far. Poll closed.

📝 Estimating the Size of a Large Network and its Communities from a Random Sample

Lin Chen, Amin Karbasi, Forrest W. Crawford

https://arxiv.org/pdf/1610.08473v1

📌 ABSTRACT:
Most real-world networks are too large to be measured or studied directly and there is substantial interest in estimating global network properties from smaller sub-samples. One of the most important global properties is the number of vertices/nodes in the network. Estimating the number of vertices in a large network is a major challenge in computer science, epidemiology, demography, and intelligence analysis. In this paper we consider a population random graph G = (V;E) from the stochastic block model (SBM) with K communities/blocks. A sample is obtained by randomly choosing a subset W and letting G(W) be the induced subgraph in G of the vertices in W. In addition to G(W), we observe the total degree of each sampled vertex and its block membership. Given this partial information, we propose an efficient PopULation Size Estimation algorithm, called PULSE, that correctly estimates the size of the whole population as well as the size of each community. To support our theoretical analysis, we perform an exhaustive set of experiments to study the effects of sample size, K, and SBM model parameters on the accuracy of the estimates. The experimental results also demonstrate that PULSE significantly outperforms a widely-used method called the network scale-up estimator in a wide variety of scenarios. We conclude with extensions and directions for future work.

🖥 NetworkX is a Python language software package for studying networks.

http://networkx.github.io/

🔴 علم بارپرست‌گونه:
ملاحظاتی در علم، شبه‌علم و یادگیری اینکه چگونه خود را فریب ندهیم.

سخنرانی ریچارد #فاینمن به مناسبت جشن فارغ‌التحصیلی - #کلتک ۱۹۷۴

http://www.sitpor.org/2016/04/cargo-cult-science/

#Cargo_Cult_Science , #sitpor

🔵 https://www.quantamagazine.org/20161025-pairwise-gene-removal-reveals-genetic-structure/