«Do your early adopters determine your success?»

Dr. Manuel Mariani , Senior Research Associate

at the University Research Priority Program on Social Networks since November 2017. He has a background in theoretical physics and received his Master degree in Physics at University La Sapienza, Roma, with a thesis on statistical-physics models of glasses. After his Master studies, he moved to Fribourg where he carried out his doctoral studies on network science, focusing mostly on the problem of ranking nodes in evolving networks.

Fast influencers in complex networks

Zhou, Feng / Lü, Linyuan / Mariani, Manuel Sebastian

Communications in Nonlinear Science and Numerical Simulation

2019

Early identification of important patents: Design and validation of citation network metrics

Mariani, Manuel Sebastian / Medo, Matúš / Lafond, François

Technological Forecasting and Social Change

2019

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay

Liao, Hao, et al.

Liu, Ming-Kai / Mariani, Manuel Sebastian / Zhou, Ming-Yang / Wu, Xingtong

Information Sciences

2019

Influencers identification in complex networks through reaction-diffusion dynamics

Iannelli, Flavio / Mariani, Manuel / Sokolov, Igor M.

Physical Review

2018

Nestedness Maximization in Complex Networks through the Fitness-Complexity Algorithm

Lin, Jian-Hong / Tessone, Claudio / Mariani, Manuel

Entropy

2018

Link Prediction in Bipartite Nested Networks

Medo, Matúš / Mariani, Manuel / Lü, Linyuan

Entropy

2018

Revealing in-block nestedness: Detection and benchmarking

Sol’e-Ribalta, Albert, et al.

Tessone, Claudio / Mariani, Manuel / Borge-Holthoefer, Javier

Physical Review

2018

Randomizing growing networks with a time-respecting null model

Ren, Zhuo-Ming, et al.

Mariani, Manuel / Zhang, Yi-Cheng / Medo, Matúš

Physical Review E

2018