JESUS GOMEZ GARDEÑES

COVID-19 epidemics’ health threat is probably one of the biggest challenges faced by our interconnected modern societies. Here, we develop an age-stratified mobility-based metapopulation model that encapsulates the main particularities of the spreading of COVID-19 and analyze the impact of NPIs to contain SARS-CoV-2 transmission.

Here we reveal that, counterintuitively, mobility may prevent diseases from spreading. This effect is observed through the theoretical analysis of a metapopulation model aimed at incorporating real demographic and commuting patterns observed in cities, regions and countries.

This study reveals the structure of social networks in populations of Hunter Gatherers, living fossils of the early societies. Networks are constructed and analyzed from high resolution proximity data captured in HG camps in Congo and Philipines by the group of Andrea Migliano @ UCL.   This video explains the main findings of the study

In this study we explore the behavior of humans when facing different types social dilemmas. Surprisingly, when applying  unsupervised clustering algorithms to categorize human decissions we discover 4 types of consistent behaviors: Envious, Optimist, Pessimist, and Trustful.

In this article, we show that explosive transitions can also occur when our acquaintances are highly reluctant to accept new social phenomena. This seemingly paradoxical result is especially relevant to social media such as YouTube, Facebook or Whatsapp, in which acceptanc^e of new ideas depends on both its intrinsic value and perceived value given by our peers.

Here we analyzed the spatio-temporal patterns of human daily commutes in several cities of Colombia. The division into 6 socio-economic classes of the Colombian society helps us to analyze the main differences between the commuting patterns of poor and rich groups. This study helps to elucidate the socio-economic distance between humans living in the same society.