◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

C. D. Bacco

4 papers hereh-index 15747 citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • physics.soc-ph2

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.SI2025

Flexible inference in heterogeneous and attributed multilayer networks

Martina Contisciani, Marius Hobbhahn, Eleanor A. Power +2

Networked datasets can be enriched by different types of information about individual nodes or edges. However, most existing methods for analyzing such datasets struggle to handle…

physics.soc-ph2024

A model for efficient dynamical ranking in networks

Andrea Della Vecchia, Kibidi Neocosmos, Daniel B. Larremore +2

We present a physics-inspired method for inferring dynamic rankings in directed temporal networks - networks in which each directed and timestamped edge reflects the outcome and ti…

physics.soc-ph2024

Optimal transport with constraints: from mirror descent to classical mechanics

Abdullahi Adinoyi Ibrahim, Michael Muehlebach, Caterina De Bacco

Finding optimal trajectories for multiple traffic demands in a congested network is a challenging task. Optimal transport theory is a principled approach that has been used success…

cs.SI2024

Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information

Nicolò Ruggeri, Alessandro Lonardi, Caterina De Bacco

Hypergraphs are widely adopted tools to examine systems with higher-order interactions. Despite recent advancements in methods for community detection in these systems, we still la…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.