283 citations · 802 across the 44 of their papers we have counts for
10 papers · 1 filter
Maximum entropy temporal networks
Paolo Barucca
Temporal networks consist of timestamped directed interactions that may appear continuously in time, yet few studies have directly tackled the continuous-time modeling of networks.…
Parsimonious Hawkes Processes for temporal networks modelling
Yuwei Zhu, Paolo Barucca
Temporal networks are characterised by interdependent link events between nodes, forming ordered sequences of links that may represent specific information flows in the system. Nev…
Consensus formation on heterogeneous networks
Edoardo Fadda, Junda He, Claudio Tessone +1
Reaching consensus -- a macroscopic state where the system constituents display the same microscopic state -- is a necessity in multiple complex socio-technical and techno-economic…
Spectral density of equitable core-periphery graphs
Paolo Barucca
Core-periphery structure is an emerging property of a wide range of complex systems and indicate the presence of group of actors in the system with an higher number of connections…
A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market
Piero Mazzarisi, Paolo Barucca, Fabrizio Lillo +1
We propose a dynamic network model where two mechanisms control the probability of a link between two nodes: (i) the existence or absence of this link in the past, and (ii) node-sp…
Tackling information asymmetry in networks: a new entropy-based ranking index
Paolo Barucca, Guido Caldarelli, Tiziano Squartini
Information is a valuable asset for agents in socio-economic systems, a significant part of the information being entailed into the very network of connections between agents. The…
Disentangling group and link persistence in Dynamic Stochastic Block models
Paolo Barucca, Fabrizio Lillo, Piero Mazzarisi +1
We study the inference of a model of dynamic networks in which both communities and links keep memory of previous network states. By considering maximum likelihood inference from s…
Spectral partitioning in equitable graphs
Paolo Barucca
Graph partitioning problems emerge in a wide variety of complex systems, ranging from biology to finance, but can be rigorously analyzed and solved only for a few graph ensembles.…
Resolution of ranking hierarchies in directed networks
Elisa Letizia, Paolo Barucca, Fabrizio Lillo
Identifying hierarchies and rankings of nodes in directed graphs is fundamental in many applications such as social network analysis, biology, economics, and finance. A recently pr…
Centrality metrics and localization in core-periphery networks
Paolo Barucca, Daniele Tantari, Fabrizio Lillo
Two concepts of centrality have been defined in complex networks. The first considers the centrality of a node and many different metrics for it has been defined (e.g. eigenvector…