Forwarded from Complex Networks (SBU)
#سمینارهای_هفتگی
عنوان:
Twitter Application Programming Interface
🗣 پرهام مرادی - دانشگاه شهید بهشتی
⏰ دوشنبه، 18 آذر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
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عنوان:
Twitter Application Programming Interface
🗣 پرهام مرادی - دانشگاه شهید بهشتی
⏰ دوشنبه، 18 آذر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
~~~~~~~~~~~~~~~~
🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
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💰 I am looking for excellent candidates for the #PhD project: "structure and dynamics of simplicial complexes"
Deadline 31 January
https://t.co/D4yYngIP42
Deadline 31 January
https://t.co/D4yYngIP42
I am hiring a #PhD student in my new Social Computing group at University of Zürich. Topics around big data algorithms, fairness, bias in online platforms and focus on real-world impact. Please spread the word! https://t.co/sXzWFuQ86m
💰 #PhD Opening on large-scale dynamics of functional networks and information routing in Marseille, France
https://t.co/4pr1j0abia
https://t.co/4pr1j0abia
INS
PhD Opening on large-scale dynamics of functional networks and information routin — INS
PhD Opening on large-scale dynamics of functional networks and information routing (@Aix-Marseille University) We are recruiting one PhD fellow at the Institute for Systems Neuroscience at Aix-Marseille University. The student will work within Dr. Demian…
🔺 Transitivity and degree assortativity explained: The bipartite structure of social networks
https://t.co/WXzwlM9E2k
https://t.co/WXzwlM9E2k
Complexity Digest
Transitivity and degree assortativity explained: The bipartite structure of social networks
Demival Vasques Filho, Dion R. J. O’Neale Dynamical processes, such as the diffusion of knowledge, opinions, pathogens, "fake news", innovation, and others, are highly dependent o…
💥 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
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
Nature
C. elegans collectively forms dynamical networks
Nature Communications - Understanding collective motions in a group of interacting animal is a challenge owing to the lack of control over, for example, real fish schools. Here, the authors study...
Topology of simplicial complexes and dynamics: new results on the explosive higher-order Kuramoto model!
https://t.co/SHfvy1mern
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
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.
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.
Forwarded from Complex Networks (SBU)
#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
—————————————
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
—————————————
Forwarded from Complex Networks (SBU)
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.
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.
Forwarded from Complex Networks (SBU)
📛 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!
با آرزوی روزهایی پاک و مسئولینی خردمند!
Complex Systems Studies pinned «📛 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!»
💰 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
t.co/Nljg1rmowI
Twitter
EPSRC Random Systems CDT
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 #postgrad #Maths https://t.co/NHAZuwIEic
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
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
It's a *golden* resource if you learn like I do (by building things from scratch).
Happy learning!
#100DaysOfMLCode #100DaysOfCode
https://t.co/LcoPAQBULv