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
APPLICATIONS NOW OPEN: We're pleased to announce we have opened our call for 2019 doctoral studentships. We're looking for candidates who will embrace the ethos of the Turing and contribute to our vibrant research community. Find out more: https://t.co/BZtkfbZVIg #TuringPhD