Iacopo Iacopini's repositories
simplagion
Code associated to the paper 'Simplicial models of social contagion' Nat. Commun. (2019)
py-draw-simplicial-complex
Draws a 2D simplicial complex from a list of simplices.
awesome-network-analysis
A curated list of awesome network analysis resources.
higher-order-NG
Code associated to the paper "Group interactions modulate critical mass dynamics in social convention" by Iacopini et al. Commun Phys 5, 64 (2022)
temporal-group-interactions
Code associated to the paper "The temporal dynamics of group interactions in higher-order social networks" by Iacopini et al. ArXiv 2306.099675 (2023)
py-network-rich-core
A Python module for the extraction of the rich-core of complex networks. Ma A and Mondragón RJ (PLoS One, 2015).
py-network-salience
A Python module for a robust classification of salient links in complex networks (Grady et al. 2012)
interacting-discovery-processes-on-complex-networks
Code associated to the paper "Interacting discovery processes on complex networks" PRL (2020)
py-conf-model
A weighed directed configuration model for networkx graphs.
iaciac.github.io
My website
interacting-simplagions
Code associated to the paper "Simplicially driven simple contagion" by Lucas M., Iacopini I., Robiglio T., Barrat A., Petri G. Phys. Rev. Research, 5, 013201 (2023)
2017-phd-students
Repository for the reproducible research session
CASA-Covid-19
Repository to bundle work at Casa around covid
gpd_lite_toolbox
Mini toolbox using geopandas/GeoDataFrame and providing some convenience functions
infomap-online
Web application to run Infomap online without any installation
LightGraphs.jl
An optimized graphs package for Julia
my-jekyll-website
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
py-notebooks
Some ipython notebooks
sym-MI
A Python function for studying correlations in symbolic sequences, by computing the Mutual Information of symbols at distance n. The result is closely related to the autocorrelation function, as described by W. Ebeling and T. Poschel in Entropy and Long-Range Correlations in Literary English, EPL (1994).