117 citations · 398 across the 11 of their papers we have counts for
9 papers · 1 filter
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…
Anomaly, reciprocity, and community detection in networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including…
Community Detection in Large Hypergraphs
Nicolò Ruggeri, Martina Contisciani, Federico Battiston +1
Hypergraphs, describing networks where interactions take place among any number of units, are a natural tool to model many real-world social and biological systems. In this work we…
Inference of hyperedges and overlapping communities in hypergraphs
Martina Contisciani, Federico Battiston, Caterina De Bacco
Hypergraphs, encoding structured interactions among any number of system units, have recently proven a successful tool to describe many real-world biological and social networks. H…
Reciprocity, community detection, and link prediction in dynamic networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
Many complex systems change their structure over time, in these cases dynamic networks can provide a richer representation of such phenomena. As a consequence, many inference metho…
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva +10
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. The…
Community detection and reciprocity in networks by jointly modeling pairs of edges
Martina Contisciani, Hadiseh Safdari, Caterina De Bacco
To unravel the driving patterns of networks, the most popular models rely on community detection algorithms. However, these approaches are generally unable to reproduce the structu…
Generative model for reciprocity and community detection in networks
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco
We present a probabilistic generative model and efficient algorithm to model reciprocity in directed networks. Unlike other methods that address this problem such as exponential ra…
Community detection with node attributes in multilayer networks
Martina Contisciani, Eleanor Power, Caterina De Bacco
Community detection in networks is commonly performed using information about interactions between nodes. Recent advances have been made to incorporate multiple types of interactio…