211 citations · 859 across the 32 of their papers we have counts for
14 papers · 1 filter
Community detection and anomaly prediction in dynamic networks
Hadiseh Safdari, Caterina De Bacco
Anomaly detection is an essential task in the analysis of dynamic networks, offering early warnings of abnormal behavior. We present a principled approach to detect anomalies in dy…
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…
Structure and inference in hypergraphs with node attributes
Anna Badalyan, Nicolò Ruggeri, Caterina De Bacco
Many networked datasets with units interacting in groups of two or more, encoded with hypergraphs, are accompanied by extra information about nodes, such as the role of an individu…
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…
A framework to generate hypergraphs with community structure
Nicolò Ruggeri, Federico Battiston, Caterina De Bacco
In recent years hypergraphs have emerged as a powerful tool to study systems with multi-body interactions which cannot be trivially reduced to pairs. While highly structured method…
Modeling Node Exposure for Community Detection in Networks
Sameh Othman, Johannes Schulz, Marco Baity-Jesi +1
In community detection, datasets often suffer a sampling bias for which nodes which would normally have a high affinity appear to have zero affinity. This happens for example when…
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…
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…
The interplay between ranking and communities in networks
Laura Iacovissi, Caterina De Bacco
Community detection and hierarchy extraction are usually thought of as separate inference tasks on networks. Considering only one of the two when studying real-world data can be an…
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, link prediction, and layer interdependence in multilayer networks
Caterina De Bacco, Eleanor A. Power, Daniel B. Larremore +1
Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one…