Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Montresor, Alberto"'
We present an interactive Web platform that, given a directed graph, allows identifying the most relevant nodes related to a given query node. Besides well-established algorithms such as PageRank and Personalized PageRank, the demo includes Cyclerank
Externí odkaz:
http://arxiv.org/abs/2405.02261
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 structures, capturing distinct types of higher-order interactions among
Externí odkaz:
http://arxiv.org/abs/2402.16782
Autor:
Lotito, Quintino Francesco, Contisciani, Martina, De Bacco, Caterina, Di Gaetano, Leonardo, Gallo, Luca, Montresor, Alberto, Musciotto, Federico, Ruggeri, Nicolò, Battiston, Federico
Publikováno v:
Journal of Complex Networks, Volume 11, Issue 3, June 2023
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 hyperedges encode interactions among an arbitrary number of units. He
Externí odkaz:
http://arxiv.org/abs/2303.15356
Publikováno v:
Journal of Complex Networks, Volume 12, Issue 2, April 2024, cnae013
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 the system's overall function. Recently, hypergraphs have emerged as
Externí odkaz:
http://arxiv.org/abs/2303.01385
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 complex networks across various domains. In this work, we focus on the probl
Externí odkaz:
http://arxiv.org/abs/2209.10241
Publikováno v:
In Technology in Society December 2024 79
Publikováno v:
Commun Phys 5, 79 (2022)
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 involve a higher number of nodes. To properly encode such higher-order
Externí odkaz:
http://arxiv.org/abs/2108.03192
In recommender systems (RSs), predicting the next item that a user interacts with is critical for user retention. While the last decade has seen an explosion of RSs aimed at identifying relevant items that match user preferences, there is still a ran
Externí odkaz:
http://arxiv.org/abs/2011.05208
Publikováno v:
PLOS ONE. 16 (2021) 0-20
Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Being able to estimate in a fast and reliable way the impact of an illness on a given country is essential to
Externí odkaz:
http://arxiv.org/abs/2010.14903
Publikováno v:
International Workshop on Mining and Learning with Graphs 2020 (MLG '20)
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 and financial networks. Despite the importance of analyzing complex t
Externí odkaz:
http://arxiv.org/abs/2009.01928