Random graph models for dynamic networks

Overview of attention for article published in Journal de Physique I, October 2017

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (90th percentile)
High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

policy: 1 policy source
twitter: 33 X users

patent: 1 patent
googleplus: 1 Google+ user

Citations

dimensions_citation: 104 Dimensions

Readers on

mendeley: 154 Mendeley

Summary Policy documents X Patents Google+ Dimensions citations

So far, Altmetric has seen 33 X posts from 33 X users, with an upper bound of 255,366 followers.

RandomDynamicGraph is a Python package that implements the algorithm from Zhang et al. (https://t.co/KoBzYD40zB) for generating large-scale dynamic temporal random graphs where the fundamental unit of analysis is the entire history of the network.

22 Sep 2021

Reply Repost Favourite

Random graph models for dynamic networks https://t.co/zh8HgYYKUt

31 Jul 2016

Reply Repost Favourite

RT @republicofmath: Random graph models for dynamic networks https://t.co/lfR4EqyLs2 https://t.co/wETjjql2gw

31 Jul 2016

Reply Repost Favourite

"Random graph models for dynamic networks." https://t.co/WaOsJ3DQcP #datascience

31 Jul 2016

Reply Repost Favourite

This page shows the most recent X posts that mention this research output.

Click here to find out how to access more activity, including 29 additional X posts.