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The structure of the supply chain network has important implications for modelling economic systems, from growth trajectories to responses to shocks or natural disasters. However, reconstructing firm-to-firm networks from available…

Physics and Society · Physics 2024-12-23 Leonardo Niccolò Ialongo , Sylvain Bangma , Fabian Jansen , Diego Garlaschelli

Until two decades ago, industrial networks were deemed secure due to physical separation from public networks. An abundance of successful attacks proved that assumption wrong. Intrusion detection solutions for industrial application need to…

Cryptography and Security · Computer Science 2019-07-10 Simon D. Duque Anton , Daniel Fraunholz , Hans Dieter Schotten

Studying intra-industry trade involves theoretical explanations and empirical methods to measure the phenomenon. Indicators have been developed to measure the intensity of intra-industry trade, leading to theoretical models explaining its…

Theoretical Economics · Economics 2023-09-01 Sourish Dutta

Machine learning models for functional materials design require precise and informative representations of material systems. Common representations encode atomic composition and bonding but often do not include local coordination…

Materials Science · Physics 2026-03-17 Anoj Aryal , Weiyi Gong , Huta Banjade , Qimin Yan

Sourcing and identification of new manufacturing partners is crucial for manufacturing system integrators to enhance agility and reduce risk through supply chain diversification in the global economy. The advent of advanced large language…

Artificial Intelligence · Computer Science 2024-04-11 Yunqing Li , Binil Starly

Using administrative data on the universe of inter-firm transactions in Spain, we show that firms learn to import from their domestic suppliers and customers. Our identification strategy exploits the panel structure of the data, the…

General Economics · Economics 2025-02-25 Kenan Huremović , Federico Nutarelli , Francesco Serti , Fernando Vega-Redondo

This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterprise credit risk assessment. The main research work includes:…

Risk Management · Quantitative Finance 2024-09-27 Bingyao Liu , Iris Li , Jianhua Yao , Yuan Chen , Guanming Huang , Jiajing Wang

[Context and motivation] The automotive industry is currently undergoing a fundamental transformation towards software defined vehicles. The automotive market of the future demands a higher level of automation, electrification of the power…

Social and Information Networks · Computer Science 2023-04-19 Oliver Klemp , Bernd Westphal , Stefan Puch

Network community detection is a hot research topic in network analysis. Although many methods have been proposed for community detection, most of them only take into consideration the lower-order structure of the network at the level of…

Social and Information Networks · Computer Science 2019-06-12 Pei-Zhen Li , Ling Huang , Chang-Dong Wang , Jian-Huang Lai

Online behaviors of consumers and marketers generate massive marketing data, which ever more sophisticated models attempt to turn into insights and aid decisions by marketers. Yet, in making decisions human managers bring to bear marketing…

Artificial Intelligence · Computer Science 2020-01-27 Somak Aditya , Atanu Sinha

In the rapidly evolving automotive industry, Systems-on-Chips (SoCs) are playing an increasingly crucial role in enhancing vehicle intelligence, connectivity, and safety features. For enterprises whose business encompasses automotive SoCs,…

Social and Information Networks · Computer Science 2024-05-20 Jiawei Feng , Mengsi Cai , Fangze Dai , Tianci Bu , Xiaoyu Zhang , Huijun Zheng , Xin Lu

Globally operating enterprises selling large and complex products and services often have to deal with situations where variability models are locally developed to take into account the requirements of local markets. For example, cars sold…

Artificial Intelligence · Computer Science 2021-02-16 Mathias Uta , Alexander Felfernig , Gottfried Schenner , Johannes Spoecklberger

This paper develops an algorithm to reconstruct large weighted firm-to-firm networks using information about the size of the firms and sectoral input-output flows. Our algorithm is based on a four-step procedure. We first generate a matrix…

General Economics · Economics 2025-12-03 Ashwin Bhattathiripad , Vipin P Veetil

Complex network theory aims to model and analyze complex systems that consist of multiple and interdependent components. Among all studies on complex networks, topological structure analysis is of the most fundamental importance, as it…

Social and Information Networks · Computer Science 2010-09-15 Bo Yang , Jiming Liu

This paper proposes a multilayer graph model for the community detection from multiple observations. This is a very frequent situation, when different estimators are applied to infer graph edges from signals at its nodes, or when different…

Neurons and Cognition · Quantitative Biology 2024-10-23 Tiziana Cattai , Gaetano Scarano , Marie-Constance Corsi , Fabrizio De Vico Fallani , Stefania Colonnese

Industry classification schemes provide a taxonomy for segmenting companies based on their business activities. They are relied upon in industry and academia as an integral component of many types of financial and economic analysis.…

Statistical Finance · Quantitative Finance 2022-11-14 Rian Dolphin , Barry Smyth , Ruihai Dong

Achieving the United Nations Sustainable Development Goals (SDGs) requires an understanding of the complex interlinkages that exist among their underlying indicators. While most existing research examines these interconnections at the goal…

Dynamical Systems · Mathematics 2026-02-03 Gaurav Kottari , Qazi J. Azhad , Niteesh Sahni

A multilevel network is defined as the junction of two interaction networks, one level representing the interactions between individuals and the other the interactions between organizations. The levels are linked by an affiliation…

Methodology · Statistics 2023-12-04 Saint-Clair Chabert-Liddell , Pierre Barbillon , Sophie Donnet , Emmanuel Lazega

Efficient traffic monitoring is playing a fundamental role in successfully tackling congestion in transportation networks. Congestion is strongly correlated with two measurable characteristics, the demand and the network density that impact…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Rafael Makrigiorgis , Panayiotis Kolios , Stelios Timotheou , Theocharis Theocharides , Christos G. Panayiotou

The increasing integration of world economies, which organize in complex multilayer networks of interactions, is one of the critical factors for the global propagation of economic crises. We adopt the network science approach to quantify…

Physics and Society · Physics 2019-01-09 Michele Starnini , Marián Boguñá , M. Ángeles Serrano
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