Experiments on real-world datasets to evaluate the effectiveness of the algorithms proposed in paper...

The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method...

This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

Leader Detect is an algorithm that takes as input a social network and a table of actions performed by the people in the social networks and returns for each action the list...

Algorithms that tackle the problem of minimizing average/maximum hitting time (BMAH/BMMH) between different social network groups, given fixed shortcut edges. The...

This archive contains the code to visualize biclusters from the paper "Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations" by Thibault Marette, Pauli...

The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the...

Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...

GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...

We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of...

In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...

This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our...

NetworkSNS is a Python language software package for describing, model, and study complex and dynamic networks.

The graph ensemble package contains a set of methods to build fitness based graph ensembles from marginal information. These methods can be used to build randomized ensembles...

NuMeTris is a package for Maximum-Entropy models for triadic pattern detection. It contains known models such as DBCM and RBCM for binary motif analysis, and contain mixture...

The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences.