activity
20172021
collaborators

6 papers

physics.soc-ph2021

Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks

Krittika D'Silva, Jordan Cambe, Anastasios Noulas +2

Modelling the dynamics of urban venues is a challenging task as it is multifaceted in nature. Demand is a function of many complex and nonlinear features such as neighborhood compo…

physics.soc-ph2021

Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics

Jordan Cambe, Krittika D'Silva, Anastasios Noulas +2

Understanding the impact that a new business has on the local market ecosystem is a challenging task as it is multifaceted in nature. Past work in this space has examined the colla…

cs.SI2020

Exploring and comparing temporal clustering methods

Jordan Cambe, Sebastian Grauwin, Patrick Flandrin +1

Description of temporal networks and detection of dynamic communities have been hot topics of research for the last decade. However, no consensual answers to these challenges have…

physics.soc-ph2018

Giant catalytic effect of altruists in Schelling's segregation model

P. Jensen, T. Matreux, J. Cambe +2

We study the effect of introducing altruistic agents in a Schelling-like model of residential segregation. We find that even an infinitesimal proportion of altruists has dramatic c…

physics.soc-ph2018

Evolutions of Individuals Use of Lyon's Bike Sharing System

Jordan Cambe, Patrice Abry, Julien Barnier +3

Bike sharing systems (BSS) have been growing fast all over the world, along with the number of articles analyzing such systems. However the lack of temporally large trip databases…

physics.soc-ph2017

Mapping temporal-network percolation to weighted, static event graphs

Mikko Kivelä, Jordan Cambe, Jari Saramäki +1

Many processes of spreading and diffusion take place on temporal networks, and their outcomes are influenced by correlations in the times of contact. These correlations have a part…