Alessandro Muscoloni

According to our database1, Alessandro Muscoloni authored at least 14 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks.
Appl. Netw. Sci., 2021

2020
Geometrical congruence and efficient greedy navigability of complex networks.
CoRR, 2020

2019
Generative modelling and inverse problem solving for networks in hyperbolic space
PhD thesis, 2019

Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity.
CoRR, 2019

Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding.
CoRR, 2019

Navigability evaluation of complex networks by greedy routing efficiency.
CoRR, 2019

2018
Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks.
CoRR, 2018

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space.
CoRR, 2018

2017
A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities.
CoRR, 2017

Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction.
CoRR, 2017

Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club?
CoRR, 2017

Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?
Appl. Netw. Sci., 2017

2016
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space.
CoRR, 2016

2014
Real-time tracking with an embedded 3D camera with FPGA processing.
Proceedings of the 2014 International Conference on 3D Imaging, 2014


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