iaciac
Complex Networks · Data Science · Computational Social Science · Cities
Network Science Institute, Northeastern University LondonLondon
Pinned Repositories
awesome-network-analysis
A curated list of awesome network analysis resources.
epydemic
Epidemic processes on networks in Python
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)
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.
py-draw-simplicial-complex
Draws a 2D simplicial complex from a list of simplices.
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)
simplagion
Code associated to the paper 'Simplicial models of social contagion' Nat. Commun. (2019)
temporal-group-interactions
Code associated to the paper "The temporal dynamics of group interactions in higher-order social networks" by Iacopini et al. Nature Communications 15, 7391 (2024)
iaciac's Repositories
iaciac/simplagion
Code associated to the paper 'Simplicial models of social contagion' Nat. Commun. (2019)
iaciac/py-draw-simplicial-complex
Draws a 2D simplicial complex from a list of simplices.
iaciac/awesome-network-analysis
A curated list of awesome network analysis resources.
iaciac/temporal-group-interactions
Code associated to the paper "The temporal dynamics of group interactions in higher-order social networks" by Iacopini et al. Nature Communications 15, 7391 (2024)
iaciac/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)
iaciac/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).
iaciac/py-network-salience
A Python module for a robust classification of salient links in complex networks (Grady et al. 2012)
iaciac/interacting-discovery-processes-on-complex-networks
Code associated to the paper "Interacting discovery processes on complex networks" PRL (2020)
iaciac/py-conf-model
A weighed directed configuration model for networkx graphs.
iaciac/epydemic
Epidemic processes on networks in Python
iaciac/ERRW
Core scripts associated to the paper "Network dynamics of innovation processes" by Iacopini et al. PRL 120(4), 0483014 (2018)
iaciac/iaciac.github.io
My website
iaciac/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)
iaciac/2017-phd-students
Repository for the reproducible research session
iaciac/CASA-Covid-19
Repository to bundle work at Casa around covid
iaciac/dionysus
Library for computing persistent homology
iaciac/Ensembles-of-Simplicial-Complexes
iaciac/gpd_lite_toolbox
Mini toolbox using geopandas/GeoDataFrame and providing some convenience functions
iaciac/Holes
A Python module for detecting, analysing and visualising persistent homological features of complex networks
iaciac/infomap-online
Web application to run Infomap online without any installation
iaciac/LightGraphs.jl
An optimized graphs package for Julia
iaciac/lobanet
Fork this repo for a quick start.
iaciac/long-haul
A minimal, type-focused Jekyll theme.
iaciac/my-jekyll-website
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
iaciac/networkx
Official NetworkX source code repository.
iaciac/py-notebooks
Some ipython notebooks
iaciac/RankFlow
A tool for visualizing changes in ranked lists over time.
iaciac/reveal.js
The HTML Presentation Framework
iaciac/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).
iaciac/website
Content of my academic website