160 citations · 300 across the 13 of their papers we have counts for
14 papers
Motifs in temporal hypergraphs
Quintino Francesco Lotito, Lorenzo Betti, Federico Battiston +1
Network motifs, recurrent local patterns of interactions in graphs, provide fundamental insights on the interplay between structure and functionality in complex systems. Many real-…
Hypergraphx-data: a repository for higher-order network data
Quintino Francesco Lotito, Lorenzo Betti, Berné Nortier +2
The availability of network datasets advances research in network science, machine learning and related fields by enabling empirical analyses and their reproducibility, algorithm d…
HIF: The hypergraph interchange format for higher-order networks
Martín Coll, Cliff A. Joslyn, Nicholas W. Landry +5
Many empirical systems contain complex interactions of arbitrary size, representing, for example, chemical reactions, social groups, co-authorship relationships, and ecological dep…
The microscale organization of directed hypergraphs
Quintino Francesco Lotito, Alberto Vendramini, Alberto Montresor +1
Many real-world complex systems are characterized by non-pairwise -- higher-order -- interactions among system's units, and can be effectively modeled as hypergraphs. Directed hype…
Influence Maximization in Hypergraphs using Multi-Objective Evolutionary Algorithms
Stefano Genetti, Eros Ribaga, Elia Cunegatti +2
The Influence Maximization (IM) problem is a well-known NP-hard combinatorial problem over graphs whose goal is to find the set of nodes in a network that spreads influence at most…
Patterns in temporal networks with higher-order egocentric structures
Beatriz Arregui-García, Antonio Longa, Quintino Francesco Lotito +2
The analysis of complex and time-evolving interactions like social dynamics represents a current challenge for the science of complex systems. Temporal networks stand as a suitable…
Multiplex measures for higher-order networks
Quintino Francesco Lotito, Alberto Montresor, Federico Battiston
A wide variety of complex systems are characterized by interactions of different types involving varying numbers of units. Multiplex hypergraphs serve as a tool to describe such st…
Hypergraphx: a library for higher-order network analysis
Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco +6
From social to biological systems, many real-world systems are characterized by higher-order, non-dyadic interactions. Such systems are conveniently described by hypergraphs, where…
Hyperlink communities in higher-order networks
Quintino Francesco Lotito, Federico Musciotto, Alberto Montresor +1
Many networks can be characterised by the presence of communities, which are groups of units that are closely linked. Identifying these communities can be crucial for understanding…
Exact and sampling methods for mining higher-order motifs in large hypergraphs
Quintino Francesco Lotito, Federico Musciotto, Federico Battiston +1
Network motifs are recurrent, small-scale patterns of interactions observed frequently in a system. They shed light on the interplay between the topology and the dynamics of comple…
Higher-order motif analysis in hypergraphs
Quintino Francesco Lotito, Federico Musciotto, Alberto Montresor +1
A deluge of new data on social, technological and biological networked systems suggests that a large number of interactions among system units are not limited to pairs, but rather…
A Signal-Centric Perspective on the Evolution of Symbolic Communication
Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca
The evolution of symbolic communication is a longstanding open research question in biology. While some theories suggest that it originated from sub-symbolic communication (i.e., i…
Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs
Quintino Francesco Lotito, Alberto Montresor
Over the last decade, there has been an increasing interest in temporal graphs, pushed by a growing availability of temporally-annotated network data coming from social, biological…
Improving Zero-Shot Translation of Low-Resource Languages
Surafel M. Lakew, Quintino F. Lotito, Matteo Negri +2
Recent work on multilingual neural machine translation reported competitive performance with respect to bilingual models and surprisingly good performance even on (zeroshot) transl…