Iacopo Iacopini's Projects
Repository for the reproducible research session
A curated list of awesome network analysis resources.
Repository to bundle work at Casa around covid
Library for computing persistent homology
Epidemic processes on networks in Python
Core scripts associated to the paper "Network dynamics of innovation processes" by Iacopini et al. PRL 120(4), 0483014 (2018)
Mini toolbox using geopandas/GeoDataFrame and providing some convenience functions
Code associated to the paper "Group interactions modulate critical mass dynamics in social convention" by Iacopini et al. Commun Phys 5, 64 (2022)
A Python module for detecting, analysing and visualising persistent homological features of complex networks
My website
Web application to run Infomap online without any installation
Code associated to the paper "Interacting discovery processes on complex networks" PRL (2020)
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)
An optimized graphs package for Julia
Fork this repo for a quick start.
A minimal, type-focused Jekyll theme.
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Official NetworkX source code repository.
A weighed directed configuration model for networkx graphs.
Draws a 2D simplicial complex from a list of simplices.
A Python module for the extraction of the rich-core of complex networks. Ma A and Mondragón RJ (PLoS One, 2015).
A Python module for a robust classification of salient links in complex networks (Grady et al. 2012)
Some ipython notebooks
Extracting the multiscale backbone of complex weighted networks (Serrano et al. 2009)
A tool for visualizing changes in ranked lists over time.
The HTML Presentation Framework
Code associated to the paper 'Simplicial models of social contagion' Nat. Commun. (2019)
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).
Code associated to the paper "The temporal dynamics of group interactions in higher-order social networks" by Iacopini et al. ArXiv 2306.099675 (2023)