64 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of AmsterdamNL25 papers
- IMT School for Advanced Studies LuccaIT9 papers
- Leiden UniversityNL8 papers
- Benha UniversityEG5 papers
- University of British ColumbiaCA5 papers
- University of British Columbia, Okanagan CampusCA5 papers
- University of LethbridgeCA5 papers
- ITMO UniversityRU4 papers
- University of CopenhagenDK4 papers
- Institute for Basic ScienceKR3 papers
- Istituto Nazionale di Alta Matematica Francesco SeveriIT3 papers
- Kurchatov InstituteRU3 papers
13 papers · 1 filter
How Social Rewiring Preferences Bridge Polarized Communities
Henrique M. Borges, Vítor V. Vasconcelos, Flávio L. Pinheiro
Recently, social debates have been marked by increased polarization of social groups. Such polarization not only implies that groups cannot reach a consensus on fundamental questio…
Tracing two decades of carbon emissions using a network approach
Gianluca Guidi, Rossana Mastrandrea, Angelo Facchini +2
Carbon emissions are currently attributed to producers although a consumption-aware accounting is advocated. After constructing the Carbon Trade Network, we trace the flow of emiss…
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…
Deterministic, quenched and annealed parameter estimation for heterogeneous network models
Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini
At least two, different approaches to define and solve statistical models for the analysis of economic systems exist: the typical, econometric one, interpreting the Gravity Model s…
Reconciling econometrics with continuous maximum-entropy network models
Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini
In the study of economic networks, econometric approaches interpret the traditional Gravity Model specification as the expected link weight coming from a probability distribution w…
Reconstructing firm-level interactions: the Dutch input-output network
Leonardo Niccolò Ialongo, Camille de Valk, Emiliano Marchese +4
Recent crises have shown that the knowledge of the structure of input-output networks at the firm level is crucial when studying economic resilience from the microscopic point of v…
The Weighted Bitcoin Lightning Network
Jian-Hong Lin, Emiliano Marchese, Claudio J. Tessone +1
The Bitcoin Lightning Network (BLN) was launched in 2018 to scale up the number of transactions between Bitcoin owners. Although several contributions concerning the analysis of th…
Combination of institutional incentives for cooperative governance of risky commons
Weiwei Sun, Linjie Liu, Xiaojie Chen +2
Finding appropriate incentives to enforce collaborative efforts for governing the commons in risky situations is a long-lasting challenge. Previous works have demonstrated that bot…
Gravity models of networks: integrating maximum-entropy and econometric approaches
Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini
The World Trade Web (WTW) is the network of international trade relationships among world countries. Characterizing both the local link weights (observed trade volumes) and the glo…
Detecting mesoscale structures by surprise
Emiliano Marchese, Guido Caldarelli, Tiziano Squartini
The importance of identifying the presence of mesoscale structures in complex networks can be hardly overestimated. So far, much attention has been devoted to the detection of comm…
Functional structure in production networks
Carolina Mattsson, Frank W. Takes, Eelke M. Heemskerk +4
Production networks are integral to economic dynamics, yet dis-aggregated network data on inter-firm trade is rarely collected and often proprietary. Here we situate company-level…
Coupling of link- and node-ordering in the coevolving voter model
Joanna Toruniewska, Krzysztof Kułakowski, Krzysztof Suchecki +1
We consider the process of reaching the final state in the coevolving voter model. There is a coevolution of state dynamics, where a node can copy a state from a random neighbor wi…
Information slows down hierarchy growth
Agnieszka Czaplicka, Krzysztof Suchecki, Borja Minano +2
We consider models of growing multi-level systems wherein the growth process is driven by rules of tournament selection. A system can be conceived as an evolving tree with a new no…