390 citations · 1.8k across the 44 of their papers we have counts for
23 papers · 1 filter
Impact of behavioral heterogeneity on epidemic outcome and its mapping into effective network topologies
Fabio Mazza, Gabriele Ricci, Francesca Colaiori +3
Human behavior plays a critical role in shaping epidemic trajectories. During health crises, people respond in diverse ways in terms of self-protection and adherence to recommended…
The Physics of News, Rumors, and Opinions
Guido Caldarelli, Oriol Artime, Giulia Fischetti +5
The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information…
Statistically validated projection of bipartite signed networks
Anna Gallo, Fabio Saracco, Tiziano Squartini
Bipartite networks provide a major insight into the organisation of many real-world systems. One of the most relevant issues encountered when modelling a bipartite network is that…
Patterns of link reciprocity in directed, signed networks
Anna Gallo, Fabio Saracco, Renaud Lambiotte +2
Most of the analyses concerning signed networks have focused on the balance theory, hence identifying frustration with undirected, triadic motifs having an odd number of negative e…
Testing structural balance theories in heterogeneous signed networks
Anna Gallo, Diego Garlaschelli, Renaud Lambiotte +2
The abundance of data about social relationships allows the human behavior to be analyzed as any other natural phenomenon. Here we focus on balance theory, stating that social acto…
Bibliometric and social network analysis on the use of satellite imagery in agriculture: an entropy-based approach
Riccardo Dainelli, Fabio Saracco
Satellite imagery is gaining popularity as a valuable tool to lower the impact on natural resources and increase profits for farmers. The purpose of this study is twofold: to mine…
The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks
Massimo Bernaschi, Alessandro Celestini, Stefano Guarino +2
Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some…
Sustainable Development Goals as unifying narratives in large UK firms' Twitter discussions
Alessia Patuelli, Fabio Saracco
To achieve sustainable development worldwide, the United Nations set 17 Sustainable Development Goals (SDGs) for humanity to reach by 2030. Society is involved in the challenge, wi…
The Physics of Financial Networks
Marco Bardoscia, Paolo Barucca, Stefano Battiston +6
The field of Financial Networks is a paramount example of the novel applications of Statistical Physics that have made possible by the present data revolution. As the total value o…
The ambiguity of nestedness under soft and hard constraints
Matteo Bruno, Fabio Saracco, Diego Garlaschelli +2
Many real networks feature the property of nestedness, i.e. the neighbours of nodes with a few connections are hierarchically nested within the neighbours of nodes with more connec…
Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections
Carolina Becatti, Guido Caldarelli, Renaud Lambiotte +1
According to the Eurobarometer report about EU media use of May 2018, the number of European citizens who consult on-line social networks for accessing information is considerably…
Collaboration and followership: a stochastic model for activities in social networks
Carolina Becatti, Irene Crimaldi, Fabio Saracco
In this work we investigate how future actions are influenced by the previous ones, in the specific contexts of scientific collaborations and friendships on social networks. We are…
Colombian export capabilities: building the firms-products network
Matteo Bruno, Fabio Saracco, Tiziano Squartini +1
In this paper we analyse the bipartite Colombian firms-products network, throughout a period of five years, from 2010 to 2014. Our analysis depicts a strongly modular system, with…
The Statistical Physics of Real-World Networks
Giulio Cimini, Tiziano Squartini, Fabio Saracco +3
In the last 15 years, statistical physics has been a very successful framework to model complex networks. On the theoretical side, this approach has brought novel insights into a v…
Maximum entropy approach to link prediction in bipartite networks
M. Baltakiene, K. Baltakys, D. Cardamone +5
Within network analysis, the analytical maximum entropy framework has been very successful for different tasks as network reconstruction and filtering. In a recent paper, the same…
Entropy-based randomisation of rating networks
Carolina Becatti, Guido Caldarelli, Fabio Saracco
In the last years, due to the great diffusion of e-commerce, online rating platforms quickly became a common tool for purchase recommendations. However, instruments for their analy…
Reconstructing mesoscale network structures
Jeroen van Lidth de Jeude, Riccardo Di Clemente, Guido Caldarelli +2
When facing complex mesoscale network structures, it is generally believed that (null) models encoding the modular organization of nodes must be employed. The present paper focuses…
From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks
Mika J. Straka, Guido Caldarelli, Tiziano Squartini +1
Bipartite networks provide an insightful representation of many systems, ranging from mutualistic networks of species interactions to investment networks in finance. The analysis o…
Grand canonical validation of the bipartite International Trade Network
Mika J. Straka, Guido Caldarelli, Fabio Saracco
Devising strategies for economic development in a globally competitive landscape requires a solid and unbiased understanding of countries technological advancements and similaritie…
Inferring monopartite projections of bipartite networks: an entropy-based approach
Fabio Saracco, Mika J. Straka, Riccardo Di Clemente +3
Bipartite networks are currently regarded as providing a major insight into the organization of many real-world systems, unveiling the mechanisms driving the interactions occurring…
From innovation to diversification: a simple competitive model
Fabio Saracco, Riccardo Di Clemente, Andrea Gabrielli +1
Few attempts have been proposed in order to describe the statistical features and historical evolution of the export bipartite matrix countries/products. An important standpoint is…
Detecting early signs of the 2007-2008 crisis in the world trade
Fabio Saracco, Riccardo Di Clemente, Andrea Gabrielli +1
Since 2007, several contributions have tried to identify early-warning signals of the financial crisis. However, the vast majority of analyses has focused on financial systems and…
Randomizing bipartite networks: the case of the World Trade Web
Fabio Saracco, Riccardo Di Clemente, Andrea Gabrielli +1
Within the last fifteen years, network theory has been successfully applied both to natural sciences and to socioeconomic disciplines. In particular, bipartite networks have been r…