Sizing the length of complex networks
“how small is a small-world network and how does it compare to others'...new synoptic representation that allows for a complete and accurate interpretation of the pathlength (and efficiency) of complex networks”
https://t.co/S9lnoEZwZI
“how small is a small-world network and how does it compare to others'...new synoptic representation that allows for a complete and accurate interpretation of the pathlength (and efficiency) of complex networks”
https://t.co/S9lnoEZwZI
#سمینارهای_هفتگی مرکز شبکههای پیچیده و مردمشناسی دانشگاه شهید بهشتی
⏰ یکشنبه، ۱۳ آبان، ساعت ۱۶:۴۵
🏛 محل برگزاری: سالن ابن هیثم
@mhakim
⏰ یکشنبه، ۱۳ آبان، ساعت ۱۶:۴۵
🏛 محل برگزاری: سالن ابن هیثم
@mhakim
📝 Network analysis of the worldwide footballer transfer market
🌐 https://arxiv.org/abs/1811.00300
🎲 @ComplexSys
🌐 https://arxiv.org/abs/1811.00300
🎲 @ComplexSys
journal.pone.0205759.pdf
2.3 MB
📝 Network analysis of the social and
demographic influences on name choice
within the UK (1838-2016)
🎲 @ComplexSys
demographic influences on name choice
within the UK (1838-2016)
🎲 @ComplexSys
📙 This book, #Fractional Calculus, by Oldham and Spanier was one of the first books on the subject that caught everyone's attention.
https://t.co/LSTofuagby
https://t.co/LSTofuagby
Internet Archive
( Mathematics In Science And Engineering 111) Keith B. Oldham And Jerome Spanier ( Eds.) The Fractional Calculus Theory And Applications…
رريل
⚠ Great paper on why simple statistics can be misleading. Same mean, std. deviation, & Pearson’s correlation, yet very different graphs. Generated datasets with varied appearance & identical statistics using simulated annealing. PDF: https://t.co/y5E7YYuEWi
⛰ https://phys.org/news/2018-05-theoretical-analysis-sand-mega-ripples.amp?__twitter_impression=true
phys.org
A theoretical analysis of sand mega-ripples
A team of researchers from several institutions in Germany and Israel has used theoretical analysis to explain the conditions under which mega-ripples form in areas where sand dunes rise. In their paper ...
📯 "Pymc-learn: Practical Probabilistic Machine Learning in Python.
(arXiv:1811.00542v1 [https://t.co/E3LUKJpMju])"
(arXiv:1811.00542v1 [https://t.co/E3LUKJpMju])"
pymc_learn is focused on bringing probabilistic machine learning to non specialists. Read this draft paper for more details: https://t.co/Xgeacf1VPN #ProbabilisticModeling #MachineLearning @pymc_devs @scikit_learn https://t.co/F2BZT1mu0s