💥 Twitter TOP 10, 2019 papers, for number of engagements, shared on twitter account @net_science

1. Sugi, T., Ito, H., Nishimura, M. and Nagai, K.H., 2019. C. elegans collectively forms dynamical networks. Nature communications, 10 (1), p.683.
https://www.nature.com/articles/s41467-019-08537-y

2. Perra, N. and Rocha, L.E., 2019. Modelling opinion dynamics in the age of algorithmic personalisation. Scientific reports, 9 (1), p.7261.
https://www.nature.com/articles/s41598-019-43830-2

3. Saltelli, A., 2019. A short comment on statistical versus mathematical modelling. Nature communications, 10(1), pp.1-3.
https://www.nature.com/articles/s41467-019-11865-8

4. Aleta, A., Meloni, S., Perra, N., Moreno, Y. Explore with caution: mapping the evolution of scientific interest in physics. EPJ Data Sci. 8, 27 (2019)
https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-019-0205-9

5. Mattsson, C., 2019. Networks of monetary flow at native resolution. arXiv:1910.05596.
https://arxiv.org/abs/1910.05596

6. Venturini, T., Jacomy, M. and Jensen, P., 2019. What do we see when we look at networks. arXiv:1905.02202.
https://arxiv.org/abs/1905.02202

7. Lambiotte, R., Rosvall, M. and Scholtes, I., 2019. From networks to optimal higher-order models of complex systems. Nature physics, 15 (4), pp.313-320.
https://www.nature.com/articles/s41567-019-0459-y

8. Freitas, C.G., Aquino, A.L., Ramos, H.S., Frery, A.C. and Rosso, O.A., 2019. A detailed characterization of complex networks using Information Theory. Scientific reports, 9 (1), pp.1-12.
https://www.nature.com/articles/s41598-019-53167-5

9. Stone, L., Simberloff, D. and Artzy-Randrup, Y., 2019. Network motifs and their origins. PLoS computational biology, 15 (4), p.e1006749.
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006749

10. Avena-Koenigsberger, A., Yan, X., Kolchinsky, A., van den Heuvel, M., Hagmann, P. and Sporns, O., 2019. A spectrum of routing strategies for brain networks. PLoS computational biology, 15 (3), p.e1006833.
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006833

Topology of simplicial complexes and dynamics: new results on the explosive higher-order Kuramoto model!
https://t.co/SHfvy1mern

💰 Michailis Vazirgiannis; Machine learning for graphs based on kernels. #complexnetworks19 https://t.co/NFgZeHdYi0

the group is #hiring #PhD students and #postdoc's! Feel free to contcat the speaker if you're interested. https://t.co/o9vX3p7EjA

💰 We are looking for a #postdoc

https://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html

Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.

#سمینارهای_هفتگی

عنوان:
دینامیک توازن در شبکه‌های درشت-دانه بندی شده

🗣 بهار بلوک آذری - دانشگاه شهید بهشتی
⏰ دوشنبه، 25 آذر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابن‌هیثم

‍~~~~~~~~~~~~~~~~
🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

تماس با ما: @ccnsd_admin

🕸 @CCNSD 🔗 ccnsd.ir
—————————————

🎞 https://youtu.be/wXNWVhE2Dl4

Appearance of a new universality class in a competition

Abbas Ali Saberi
16:30- 17:30 , 26 Azar
Ibn Al-Haytham Hall, Physics Department, SBU

During the last decade, it has been shown that the universality in various growth models belonging to the Kardar-Parisi-Zhang (KPZ) class holds beyond the second moment in which the height fluctuations of the (1+1)-D model are connected to the Tracy-Widom (TW) distribution of the Gaussian unitary (and orthogonal) random matrix ensembles (GUE or GOE). In this talk, I will first review the progress in the field and then report on the universality of height fluctuations at the crossing point of two interacting (1+1)-D KPZ interfaces with curved and flat initial conditions. I will show that a new class will show up in the competition. I will also discuss possible applications in nonequilibrium transport and traffic flow.

📛 ضمن عذرخواهی از همه عزیزان، متاسفانه سخنرانی دکتر صابری در دانشکده فیزیک دانشگاه شهید بهشتی به دلیل آلودگی هوا و تعطیلی‌های صورت گرفته، به روز دیگری سپرده شد.

با آرزوی روزهایی پاک و مسئولینی خردمند!

Fractional dynamics on directed networks.

(arXiv:1912.07288v1 [https://t.co/lwVVolDZXc])

💰 Applications are open for #FullyFunded #Studentships in the #Mathematics of #RandomSystems in our @CDTRandomSys Centre for Doctoral Training based at @imperialcollege and @UniofOxford #PhD #DPhil

t.co/Nljg1rmowI

The deadline to apply is 29 February 2020.

The QLS Diploma programme is aimed at providing students with a quantitative and theoretical background that can allow them to access postgraduate programmes in a broad range of disciplines, including biophysics, quantitative biology and neuroscience, theoretical systems ecology, economics, data science, and machine learning.

The diploma is organized along five main courses, on:

Probability and Information Theory
Quantitative Biology
Neuroscience
Ecology and Evolution
Machine Learning and Artificial Intelligence

https://diploma.ictp.it/courses/qls.aspx

"From Scratch Machine Learning"

It's a *golden* resource if you learn like I do (by building things from scratch).

Happy learning!

#100DaysOfMLCode #100DaysOfCode

https://t.co/LcoPAQBULv

💰 Jobs! 4 #post_doc positions in Berlin at @Max_Planck_CHM seeking ppl with bayes, causal inference, network analysis skills. https://t.co/LabjvPyTwP

💰 #postdoc #ai

https://www.instagram.com/p/B6P3zkeh_4c/?igshid=11qdmqbaqz2h9

💻 کارگاه آموزشی علوم اجتماعی رایانشی
⚪️ مدرس: دکتر میثم علی‌زاده (پژوهشگر فوق دکترای دانشگاه پرینستون)
🗓 زمان: ۴ و ۱۱ دی ۱۳۹۸
📌 مکان: دانشگاه صنعتی شریف
➕برای اطلاعات بیشتر و ثبت نام:
https://evnd.co/TO8hj
___
@CSS_2019

🆔 @ComplexSys

❄️ https://www.quantamagazine.org/toward-a-grand-unified-theory-of-snowflakes-20191219/

✨ https://www.nature.com/articles/s41586-019-1833-8