8 citations · 13 across the 4 of their papers we have counts for
7 papers
Fast Multiplex Graph Association Rules for Link Prediction
Michele Coscia, Christian Borgelt, Michael Szell
Multiplex networks allow us to study a variety of complex systems where nodes connect to each other in multiple ways, for example friend, family, and co-worker relations in social…
Multiplex Graph Association Rules for Link Prediction
Michele Coscia, Michael Szell
Multiplex networks allow us to study a variety of complex systems where nodes connect to each other in multiple ways, for example friend, family, and co-worker relations in social…
Discovering Communities of Community Discovery
Michele Coscia
Discovering communities in complex networks means grouping nodes similar to each other, to uncover latent information about them. There are hundreds of different algorithms to solv…
The Impact of Projection and Backboning on Network Topologies
Michele Coscia, Luca Rossi
Bipartite networks are a well known strategy to study a variety of phenomena. The commonly used method to deal with this type of network is to project the bipartite data into a uni…
Network Backboning with Noisy Data
Michele Coscia, Frank Neffke
Networks are powerful instruments to study complex phenomena, but they become hard to analyze in data that contain noise. Network backbones provide a tool to extract the latent str…
Report on the Poblacion Flotante of Bogota (D.C.)
Michele Coscia, Frank Neffke, Eduardo Lora
In this document we describe the size of the Poblacion Flotante of Bogota (D.C.). The Poblacion Flotante is composed by people who live outside Bogota (D.C.), but who rely on the c…