💰 I am recruiting a postdoctoral scholar to work in my group on evolutionary theory, population genetics, and social behavior.
Please see the ad below and contact me if you'd like to learn more!
https://t.co/MEzoy2hDv5
#postdoc
Please see the ad below and contact me if you'd like to learn more!
https://t.co/MEzoy2hDv5
#postdoc
⚽ Defining a historic football team: Using Network Science to analyze Guardiola's F.C. Barcelona
J.M. Buldu, J. Busquets, I. Echegoyen, F. Seirul.lo
https://arxiv.org/abs/1909.08903
The application of Network Science to social systems has introduced new methodologies to analyze classical problems such as the emergence of epidemics, the arousal of cooperation between individuals or the propagation of information along social networks. More recently, the organization of football teams and their performance have been unveiled using metrics coming from Network Science, where a team is considered as a complex network whose nodes (i.e., players) interact with the aim of overcoming the opponent network. Here, we combine the use of different network metrics to extract the particular signature of the F.C. Barcelona coached by Guardiola, which has been considered one of the best teams along football history. We have first compared the network organization of Guardiola's team with their opponents along one season of the Spanish national league, identifying those metrics with statistically significant differences and relating them with the Guardiola's game. Next, we have focused on the temporal nature of football passing networks and calculated the evolution of all network properties along a match, instead of considering their average. In this way, we are able to identify those network metrics that enhance the probability of scoring/receiving a goal, showing that not all teams behave in the same way and how the organization Guardiola's F.C. Barcelona is different from the rest, including its clustering coefficient, shortest-path length, largest eigenvalue of the adjacency matrix, algebraic connectivity and centrality distribution.
J.M. Buldu, J. Busquets, I. Echegoyen, F. Seirul.lo
https://arxiv.org/abs/1909.08903
The application of Network Science to social systems has introduced new methodologies to analyze classical problems such as the emergence of epidemics, the arousal of cooperation between individuals or the propagation of information along social networks. More recently, the organization of football teams and their performance have been unveiled using metrics coming from Network Science, where a team is considered as a complex network whose nodes (i.e., players) interact with the aim of overcoming the opponent network. Here, we combine the use of different network metrics to extract the particular signature of the F.C. Barcelona coached by Guardiola, which has been considered one of the best teams along football history. We have first compared the network organization of Guardiola's team with their opponents along one season of the Spanish national league, identifying those metrics with statistically significant differences and relating them with the Guardiola's game. Next, we have focused on the temporal nature of football passing networks and calculated the evolution of all network properties along a match, instead of considering their average. In this way, we are able to identify those network metrics that enhance the probability of scoring/receiving a goal, showing that not all teams behave in the same way and how the organization Guardiola's F.C. Barcelona is different from the rest, including its clustering coefficient, shortest-path length, largest eigenvalue of the adjacency matrix, algebraic connectivity and centrality distribution.
arXiv.org
Defining a historic football team: Using Network Science to...
The application of Network Science to social systems has introduced new
methodologies to analyze classical problems such as the emergence of epidemics,
the arousal of cooperation between...
methodologies to analyze classical problems such as the emergence of epidemics,
the arousal of cooperation between...
Where do you park your car: is it more likely to save you time and energy if you park far away and walk, or gamble on finding the closest possible spot? New research compares three strategies – meek, prudent, and optimistic – and converges on a long-overdue answer to this age-old question.
Based on the research paper "Simple parking strategies" by Paul Krapivsky and Sidney Redner. Read it at the Journal of Statistical Mechanics:
https://iopscience.iop.org/article/10.1088/1742-5468/ab3a2a
🖥 https://m.facebook.com/story.php?story_fbid=10156148588536058&id=125124501057
Based on the research paper "Simple parking strategies" by Paul Krapivsky and Sidney Redner. Read it at the Journal of Statistical Mechanics:
https://iopscience.iop.org/article/10.1088/1742-5468/ab3a2a
🖥 https://m.facebook.com/story.php?story_fbid=10156148588536058&id=125124501057
💰 #PhD position (m/f/d) in biological physics & systems biology at Universität zu Köln
In the framework of the DFG-funded project „Predicting the effects of ribosome-targeting antibiotic combinations“, the Bollenbach group at the Institute for Biological Physics is investigating the underlying cellular and molecular mechanisms of drug interactions between antibiotics in bacteria. The group combines molecular biology with concepts from physics.
Please apply online at: https://jobportal.uni-koeln.de with proof of the sought qualifications and provide in your CV at least two recommendators that can be contacted. The reference number is Wiss1909-06. For further questions please contact Professor Bollenbach t.bollenbach@uni-koeln.de.
The application deadline is 1 November 2019.
https://academicpositions.de/ad/university-of-cologne/2019/phd-position-m-f-d-in-biological-physics-systems-biology/134190?utm_medium=email&utm_source=transactional&utm_campaign=Job+alerts
In the framework of the DFG-funded project „Predicting the effects of ribosome-targeting antibiotic combinations“, the Bollenbach group at the Institute for Biological Physics is investigating the underlying cellular and molecular mechanisms of drug interactions between antibiotics in bacteria. The group combines molecular biology with concepts from physics.
Please apply online at: https://jobportal.uni-koeln.de with proof of the sought qualifications and provide in your CV at least two recommendators that can be contacted. The reference number is Wiss1909-06. For further questions please contact Professor Bollenbach t.bollenbach@uni-koeln.de.
The application deadline is 1 November 2019.
https://academicpositions.de/ad/university-of-cologne/2019/phd-position-m-f-d-in-biological-physics-systems-biology/134190?utm_medium=email&utm_source=transactional&utm_campaign=Job+alerts
academicpositions.de
PhD position (m/f/d) in biological physics & systems biology - Academic Positions
The University of Cologne is one of the largest and most research-intensive universities in Germany, offering a wide range of subjects..
Forwarded from Complex Networks (SBU)
#سمینارهای_هفتگی
«مقدمهای بر بازبهنجارش - قسمت چهارم: مدل آیزینگ»
🗣 عباس کریمی - دانشگاه شهید بهشتی
⏰ دوشنبه، ۰۸ مهرماه - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
📽 sitpor.org/renorm
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به امید دیدار
مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
«مقدمهای بر بازبهنجارش - قسمت چهارم: مدل آیزینگ»
🗣 عباس کریمی - دانشگاه شهید بهشتی
⏰ دوشنبه، ۰۸ مهرماه - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
📽 sitpor.org/renorm
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به امید دیدار
مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
💰Fully-funded #PhD studentship to work with me at the UniofExeter! I'm looking for a candidate with data analytics skills from Computer Science, Computational Social Sciences or related areas. HMU if you have any questions.
https://www.findaphd.com/phds/project/socio-demographic-inequality-in-human-mobility-computer-science-phd-funded/?p112143
https://www.findaphd.com/phds/project/socio-demographic-inequality-in-human-mobility-computer-science-phd-funded/?p112143
www.FindAPhD.com
Socio-demographic inequality in human mobility, Computer Science – PhD (Funded) at University of Exeter on FindAPhD.com
PhD Project - Socio-demographic inequality in human mobility, Computer Science – PhD (Funded) at University of Exeter, listed on FindAPhD.com
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🔺 مقدمهای بر بازبهنجارش - اتوماتای سلولی
عباس کریمی
هفته سوم- ۱) معرفی اتوماتای سلولی
🎞 https://www.aparat.com/v/RgeYK
جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
@CCNSD @Sitpor @RadioPhysicsIr
عباس کریمی
هفته سوم- ۱) معرفی اتوماتای سلولی
🎞 https://www.aparat.com/v/RgeYK
جزئیات بیشتر در مورد این دوره:
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
@CCNSD @Sitpor @RadioPhysicsIr
Media is too big
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🔺 مقدمهای بر بازبهنجارش - اتوماتای سلولی
عباس کریمی
هفته سوم- ۲) درشت-دانهبندی اتوماتای سلولی
🎞 https://www.aparat.com/v/gieCM
جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
@CCNSD @Sitpor @RadioPhysicsIr
عباس کریمی
هفته سوم- ۲) درشت-دانهبندی اتوماتای سلولی
🎞 https://www.aparat.com/v/gieCM
جزئیات بیشتر در مورد این دوره:
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
@CCNSD @Sitpor @RadioPhysicsIr
Media is too big
VIEW IN TELEGRAM
🔺 مقدمهای بر بازبهنجارش - اتوماتای سلولی
عباس کریمی
هفته سوم- ۳) شبکههای بازبهنجارش
🎞 https://www.aparat.com/v/80GVM
جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/renormalization/
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
@CCNSD @Sitpor @RadioPhysicsIr
عباس کریمی
هفته سوم- ۳) شبکههای بازبهنجارش
🎞 https://www.aparat.com/v/80GVM
جزئیات بیشتر در مورد این دوره:
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
@CCNSD @Sitpor @RadioPhysicsIr
🔴 Nobel laureates are almost the same as us
Data show that apart from their prize-winning work, the careers of Nobel laureates follow the same patterns as those of the majority of scientists.
https://www.nature.com/articles/s42254-019-0057-z
Data show that apart from their prize-winning work, the careers of Nobel laureates follow the same patterns as those of the majority of scientists.
https://www.nature.com/articles/s42254-019-0057-z
Nature
Nobel laureates are almost the same as us
Nature Reviews Physics - Data show that apart from their prize-winning work, the careers of Nobel laureates follow the same patterns as those of the majority of scientists.
Forwarded from ✨️مدارس میان رشته ای
🔰🔰🔰
🔸مدارس میان رشتهای شریف با همکاری انجمن علمی ژرفا و انجمن علمی فیزیک دانشگاه تهران برگزار میکند:
🔹 ارائههای پاییزی فیزیک
👤 با حضور اساتید برجسته فیزیک
📅 یکشنبهها، به مدت ده هفته، از 21 مهرماه
⏳ از ساعت 🕠 16 الی 🕖 19
🏛 دانشگاه صنعتی شریف و دانشکده فیزیک دانشگاه تهران
🔴 ثبت نام و کسب اطلاعات بیشتر:
🆔 @SharifSchools
🔸مدارس میان رشتهای شریف با همکاری انجمن علمی ژرفا و انجمن علمی فیزیک دانشگاه تهران برگزار میکند:
🔹 ارائههای پاییزی فیزیک
👤 با حضور اساتید برجسته فیزیک
📅 یکشنبهها، به مدت ده هفته، از 21 مهرماه
⏳ از ساعت 🕠 16 الی 🕖 19
🏛 دانشگاه صنعتی شریف و دانشکده فیزیک دانشگاه تهران
🔴 ثبت نام و کسب اطلاعات بیشتر:
🆔 @SharifSchools
💡 "How does the Monte Carlo method work?" (by Oleg Yavoruk):
https://t.co/dOcN0vx5T6
"The paper describes the practical work for students visually clarifying the mechanism of the Monte Carlo method applying to approximating the value of Pi."
(Monte Carlo by tearing up paper...)
🔗 https://arxiv.org/pdf/1909.13212
https://t.co/dOcN0vx5T6
"The paper describes the practical work for students visually clarifying the mechanism of the Monte Carlo method applying to approximating the value of Pi."
(Monte Carlo by tearing up paper...)
🔗 https://arxiv.org/pdf/1909.13212
arXiv.org
How does the Monte Carlo method work?
The paper describes the practical work for students visually clarifying the
mechanism of the Monte Carlo method applying to approximating the value of Pi.
Considering a traditional quadrant...
mechanism of the Monte Carlo method applying to approximating the value of Pi.
Considering a traditional quadrant...
👩🏼💻 A machine learning approach to predicting dynamical observables from network structure. (arXiv:1910.00544v1 [physics.soc-ph])
https://t.co/Lagezk74TT
https://t.co/Lagezk74TT
arXiv.org
A machine learning approach to predicting dynamical observables...
Estimating the outcome of a given dynamical process from structural features
is a key unsolved challenge in network science. The goal is hindered by
difficulties associated to nonlinearities,...
is a key unsolved challenge in network science. The goal is hindered by
difficulties associated to nonlinearities,...
🐜 Memory is the result of collective action - whether it is neurons connecting in the brain or ants connecting in a colony
https://t.co/EkMxQWaQC6
https://t.co/EkMxQWaQC6
Aeon
An ant colony has memories that its individual members don’t have
Why your brain is like an ant colony: they both get wiser and more stable by using collective memory for learning
💰 Are you excited about theoretical & computational research on Nonequilibrium Statistical Physics of Active Matter & Living Systems? Apply now for one of our PhD positions @LivMatPhys. Applications will be processed starting Dec 1, 2019, until Mar 15, 2020. https://t.co/d95bh572c3
Forwarded from Complex Networks (SBU)
#سمینارهای_هفتگی
«مدل سازی رفتارهای جمعی در بازارهای اقتصادی»
🗣 بهارافشاری - دانشگاه علم و صنعت
⏰ دوشنبه، ۱۵ مهر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
~~~~~~~~~~~~~~~~
⭕️ به امید دیدار
@alisbu
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
«مدل سازی رفتارهای جمعی در بازارهای اقتصادی»
🗣 بهارافشاری - دانشگاه علم و صنعت
⏰ دوشنبه، ۱۵ مهر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
~~~~~~~~~~~~~~~~
⭕️ به امید دیدار
@alisbu
—————————————
🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
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