25 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
Linking Through Time: Memory-Enhanced Community Discovery in Temporal Networks
Giulio Virginio Clemente, Diego Garlaschelli
Temporal Networks, and more specifically, Markovian Temporal Networks, present a unique challenge regarding the community discovery task. The inherent dynamism of these systems req…
Temporal networks with node-specific memory: unbiased inference of transition probabilities, relaxation times and structural breaks
Giulio Virginio Clemente, Claudio J. Tessone, Diego Garlaschelli
One of the main challenges in the study of time-varying networks is the interplay of memory effects with structural heterogeneity. In particular, different nodes and dyads can have…
Introduction to correlation networks: Interdisciplinary approaches beyond thresholding
Naoki Masuda, Zachary M. Boyd, Diego Garlaschelli +1
Many empirical networks originate from correlational data, arising in domains as diverse as psychology, neuroscience, genomics, microbiology, finance, and climate science. Speciali…
Social media battle for attention: opinion dynamics on competing networks
Andrea Somazzi, Giuseppe Maria Ferro, Diego Garlaschelli +1
In the age of information abundance, attention is a coveted resource. Social media platforms vigorously compete for users' engagement, influencing the evolution of their opinions o…