76 citations · 376 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
Anomaly detection and community detection in networks
Hadiseh Safdari, Caterina De Bacco
Anomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of inte…
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…