activity
20152023
most citedDirected clustering in weighted networks: a new perspective

109 citations · 330 across the 21 of their papers we have counts for

collaborators

22 papers

q-fin.RM2023

A cohort-based Partial Internal Model for demographic risk

Francesco Della Corte, Gian Paolo Clemente, Nino Savelli

We investigate the quantification of demographic risk in a framework consistent with the market-consistent valuation imposed by Solvency II. We provide compact formulas for evaluat…

nlin.AO2023★ 3 cited

A Novel Self-Adaptive SIS Model Based on the Mutual Interaction between a Graph and its Line Graph

Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi

We propose a new paradigm to design a network-based self-adaptive epidemic model that relies on the interplay between the network and its line graph. We implement this proposal on…

econ.GN2022★ 4 cited

Strategic energy flows in input-output relations: a temporal multilayer approach

Gian Paolo Clemente, Alessandra Cornaro, Rosanna Grassi +1

The energy consumption, the transfer of resources through the international trade, the transition towards renewable energies and the environmental sustainability appear as key driv…

econ.EM2022★ 18 cited

Clustering coefficients as measures of the complex interactions in a directed weighted multilayer network

Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi

In this paper, we provide novel definitions of clustering coefficient for weighted and directed multilayer networks. We extend in the multilayer theoretical context the clustering…

physics.soc-ph2022★ 3 cited

Taxonomy of Cohesion Coefficients for Weighted and Directed Multilayer Networks

Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi

Clustering and closure coefficients are among the most widely applied indicators in the description of the topological structure of a network. Many distinct definitions have been p…

econ.GN2022★ 2 cited

The effect of the pandemic on complex socio-economic systems: community detection induced by communicability

Gian Paolo Clemente, Rosanna Grassi, Giorgio Rizzini

The increasing complexity of interrelated systems has made the use of multiplex networks an important tool for explaining the nature of relations between elements in the system. In…

econ.EM2021★ 18 cited

The multilayer architecture of the global input-output network and its properties

Rosanna Grassi, Paolo Bartesaghi, Gian Paolo Clemente +1

We analyze the multilayer architecture of the global input-output network using sectoral trade data (WIOD, 2016 release). With a focus on the mesoscale structure and related proper…

q-fin.RM2021

A bridge between Local GAAP and Solvency II frameworks to quantify Capital Requirement for demographic risk

Gian Paolo Clemente, Francesco Della Corte, Nino Savelli

The paper provides a stochastic model useful for assessing the capital requirement for demographic risk. The model extends to the market consistent context classical methodologies…

physics.soc-ph2021★ 22 cited

A tensor-based unified approach for clustering coefficients in financial multiplex networks

Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi

Big data and the use of advanced technologies are relevant topics in the financial market. In this context, complex networks became extremely useful in describing the structure of…

q-fin.RM2020

Assessing Systemic Risk in the Insurance Sector via Network Theory

Gian Paolo Clemente, Alessandra Cornaro

We provide a framework for detecting relevant insurance companies in a systemic risk perspective. Among the alternative methodologies for measuring systemic risk, we propose a comp…

physics.soc-ph2020★ 20 cited

Community structure in the World Trade Network based on communicability distances

Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi

In this paper, we investigate the mesoscale structure of the World Trade Network. In this framework, a specific role is assumed by short and long-range interactions, and hence by t…

physics.soc-ph2019★ 17 cited

Multi-attribute community detection in International Trade Network

Paolo Bartesaghi, Stefano Benati, Gian Paolo Clemente +1

Understanding the structure of communities in a network has a great importance in the economic analysis. Communities are indeed characterized by specific properties, that are diffe…

q-fin.PM2019★ 19 cited

Smart network based portfolios

Gian Paolo Clemente, Rosanna Grassi, Asmerilda Hitaj

In this article we deal with the problem of portfolio allocation by enhancing network theory tools. We use the dependence structure of the correlations network in constructing some…

q-fin.MF2019

Risk-dependent centrality in economic and financial networks

Paolo Bartesaghi, Michele Benzi, Gian Paolo Clemente +2

Node centrality is one of the most important and widely used concepts in the study of complex networks. Here, we extend the paradigm of node centrality in financial and economic ne…

physics.soc-ph2019★ 3 cited

Influence measures in subnetworks using vertex centrality

Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi

This work deals with the issue of assessing the influence of a node in the entire network and in the subnetwork to which it belongs as well, adapting the classical idea of vertex c…

math.CO2019★ 6 cited

Bounding robustness in complex networks under topological changes through majorization techniques

Gian Paolo Clemente, Alessandra Cornaro

Measuring robustness is a fundamental task for analyzing the structure of complex networks. Indeed, several approaches to capture the robustness properties of a network have been p…

physics.soc-ph2019★ 10 cited

Stratified communities in complex business networks

Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi

This paper presents a new definition of the community structure of a network, which takes also into account how communities are stratified. In particular, we extend the standard co…

q-fin.PM2018★ 46 cited

Asset allocation: new evidence through network approaches

Gian Paolo Clemente, Rosanna Grassi, Asmerilda Hitaj

The main contribution of the paper is to employ the financial market network as a useful tool to improve the portfolio selection process, where nodes indicate securities and edges…

physics.soc-ph2018★ 30 cited

Systemic risk assessment through high order clustering coefficient

Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi

In this article we propose a novel measure of systemic risk in the context of financial networks. To this aim, we provide a definition of systemic risk which is based on the struct…

physics.soc-ph2017★ 109 cited

Directed clustering in weighted networks: a new perspective

Gian Paolo Clemente, Rosanna Grassi

In this paper, we consider the problem of assessing local clustering in complex networks. Various definitions for this measure have been proposed for the cases of networks having w…

math.CO2015

New Bounds for the Sum of Powers of Normalized Laplacian Eigenvalues of Graphs

Gian Paolo Clemente, Alessandra Cornaro

For a simple and connected graph, a new graph invariant , defined as the sum of powers of the eigenvalues of the normalized Laplacian matrix, has been introduced by Boz…

math.CO2015

Novel Bounds for the Normalized Laplacian Estrada and Normalized Energy Index of Graphs

Gian Paolo Clemente, Alessandra Cornaro

For a simple and connected graph, several lower and upper bounds of graph invariants expressed in terms of the eigenvalues of the normalized Laplacian matrix have been proposed in…