#pathpy - Twitter Hashtag

Jürgen Hackl @HacklScience

almost 7 years ago

@maximelca @NetSciX2020 The beta version of #pathpy 3 is expected to be released in summer 2020

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Jürgen Hackl @HacklScience

almost 7 years ago

I look forward to giving you a sneak peek at the newest version of #pathpy at #NetSciX2020 in Tokyo. https://t.co/bID7PJ7bVD @NetSciX2020

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Jürgen Hackl @HacklScience

about 7 years ago

Great news: I am joining @ingo_S and his team at @UZH_en, to work on the new version of #pathpy

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Ingo Scholtes @ingo_S

about 7 years ago

Are you interested in higher-order network analysis for time-stamped social networks? On September 2nd, we will be giving a hands-on tutorial on #pathpy at #EuroCSS in Zurich. Register now! More info at: https://t.co/URmRyke6Qe

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Cyrus Babak Ravandi @CyrusRavandi

over 7 years ago

Thank you for developing #pathpy. It greatly helped us in the implementation of our heuristic approach to identify and use driver nodes in temporal networks.

Ingo Scholtes @ingo_S

over 7 years ago

Great talk by @VincenzoPerri2 presenting our new approach to visualise higher-order structure in temporal network data. Try it at https://t.co/Do71XoJ9j5 #netsci2019 #pathpy

ingo_S's tweet photo. Great talk by @VincenzoPerri2 presenting our new approach to visualise higher-order structure in temporal network data. Try it at https://t.co/Do71XoJ9j5 #netsci2019 #pathpy https://t.co/kOWsAd4nzV

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Ingo Scholtes @ingo_S

over 7 years ago

Great talk by @VincenzoPerri2 presenting our new approach to visualise higher-order structure in temporal network data. Try it at https://t.co/Do71XoJ9j5 #netsci2019 #pathpy

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Ingo Scholtes @ingo_S

over 7 years ago

And just in time for this perspective article, our new #pathpy website is online: https://t.co/6acRfsqehA

Nature Physics @NaturePhysics

over 7 years ago

Higher-order network models informed by rich data offer new opportunities for understanding complex systems, as argued by @m_rosvall @RenaudLambiotte @ingo_S in a perspective article published today https://t.co/rV4iPW9hq1

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Ingo Scholtes @ingo_S

about 8 years ago

You read the books, you saw the movies - but you may not have seen "The Lord of The Rings - The Temporal Network". Here's the premiere, automatically generated with #pathpy from character co-occurrences in the novels: https://t.co/7AMd0iac4a

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Ingo Scholtes @ingo_S

about 8 years ago

Celebrating the public release of #pathpy2 via pip, the jupyter notebook transcript of our hands-on introduction to #pathpy at KDD'18 is now online. Try it out! https://t.co/npDb9OyLBl

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Ingo Scholtes @ingo_S

about 8 years ago

Very excited about our hands-on tutorial on Higher-Order Network Analytics taking place AUG 22 at KDD'18 in London! Will give an in-depth introduction to #pathpy 2.0, to be released today! https://t.co/VFF068fdOf @kdd_news

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Ingo Scholtes @ingo_S

almost 9 years ago

We are currently working on the next release of our Open Source python package #pathpy for the analysis of time series data on (social) networks. Feel free to share your thoughts and feature requests at https://t.co/jiYCoOJ2Dj