Article
Business
Zhuang Wang, Hongman Liu
Summary: Using the SNA method, this study investigates the impact of agricultural export market diversification on export volatility from a supply network perspective. The results suggest that agricultural export market diversification significantly reduces export volatility. The stabilizing effect is stronger for processed agricultural products compared to primary agricultural products. Additionally, emerging markets and developing countries or regions show a more evident stabilizing effect than developed countries or regions. This study also identifies two mechanisms through which export market diversification stabilizes agricultural exports: increasing international market share and extending export duration.
EMERGING MARKETS FINANCE AND TRADE
(2023)
Article
Mathematics
Omer Akguller, Mehmet Ali Balci, Larissa M. Batrancea, Lucian Gaban
Summary: Using networks to analyze time series has become popular, where individual time series are mapped to visibility graphs. The Borsa Istanbul 100 (BIST 100) companies' market visibility graphs were collected for analysis. A novel kernel function of the visibility graphs was constructed to account for local extreme values. Sector-level and sector-to-sector analyses were conducted using this metric, including the COVID-19 crisis period in the study's dataset. The findings indicate the development of an effective strategy for analyzing financial time series.
Article
Mathematics, Applied
Gabriele Di Stefano
Summary: This paper studies mutual visibility in undirected graphs and introduces the Mutual-Visibility problem. It is shown that the Mutual-Visibility problem is NP-complete, but checking whether a given set of points is a mutual-visibility set is solvable in polynomial time. Special classes of graphs, like block graphs, trees, grids, tori, complete bipartite graphs, and cographs, are studied in terms of mutual-visibility sets and numbers.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Thermodynamics
Aso Mafakheri, Sadegh Sulaimany, Sara Mohammadi
Summary: Petrochemicals are valuable products made from oil, and this research aims to use computational methods to help stakeholders identify future markets and suppliers. Unlike previous studies, which focused on connection establishment in unipartite networks, this research improves and extends link prediction for petrochemicals by identifying weak trade connections and using bipartite graphs to model country-product relations.
Article
Thermodynamics
Wenya Wang, L. W. Fan, P. Zhou
Summary: This paper investigates trade relationships in fossil fuel trade, finding high dependencies between China and Japan with Central Asian countries in natural gas trade, significant market potential for the USA in South America oil trade, and suggesting leading countries play leadership roles in communities.
Article
Computer Science, Interdisciplinary Applications
John S. Caughman, Charles L. Dunn, Joshua D. Laison, Nancy Ann Neudauer, Colin L. Starr
Summary: A rectangle visibility graph (RVG) represents rectangles in the plane and their unobstructed lines of sight. We study four measures of RVGs, namely area, perimeter, height, and width, and prove their independence. We also show that the empty graph may not have the largest measures for certain number of vertices.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Yusheng Huang, Xiaoyan Mao, Yong Deng
Summary: The degree sequence of the NVG transformation provides useful motif information for practical usage, as shown in a study on stock trend prediction. The proposed natural visibility encoding and moving window strategy have been proven effective and robust in classifying time series. Further investigation into the degree sequence of the NVG transformation is encouraged based on the success of the proposed framework.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Helian Xu, Lianyue Feng, Gang Wu, Qi Zhang
Summary: The global waste paper trade networks exhibit features of small-world network, low reciprocity, heterogeneity, and disassortativity. Asia is the main importer of global waste paper, while Europe and North America are the main exporters. China and India dominate the waste paper import markets, with the United States being the largest exporter.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Diego Rincon-Yanez, Chahinez Ounoughi, Bassem Sellami, Tarmo Kalvet, Marek Tiits, Sabrina Senatore, Sadok Ben Yahia
Summary: Knowledge representation is vital for automated decision-making, and knowledge graphs have emerged as a popular form of representation. This paper proposes a method using knowledge graph embeddings to model international trade and explores the impact of embeddings on other algorithms.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Business
Shujaat Abbas, Valentin Shtun, Veronika Sapogova, Vakhrushev Gleb
Summary: The purpose of this study is to explore the determinants of export flow for the Russian Federation and identify potential export markets. The findings show that an increase in the income of trading partners and enhancement of domestic production capacity have a significant positive impact on Russian export flow, while geographic distance has a significant negative impact. The study also reveals a high concentration of export with large potential for exports in many developing countries in Asia, Africa, and America.
INTERNATIONAL JOURNAL OF EMERGING MARKETS
(2023)
Article
Economics
Wanwan Zhao, Yanan Zhou, Yongliang Zhao
Summary: This paper investigates the export market of enterprises, dividing it into main export market and secondary export market based on export status. It examines the impact of temporary trade barriers in the main export market on the export conversion of enterprises between the main and secondary markets. The research findings indicate that an increase in the anti-dumping degree of the main market results in a higher probability of role exchange between the main and secondary markets; a rise in the countervailing level of the main market leads to a higher likelihood of enterprises shifting their export to the secondary market; and the higher the trade safeguard measures in the main market, the more likely the secondary market will become the main market.
ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA
(2022)
Article
Economics
Bo Zhu, Jiahao Liu, Renda Lin, Julien Chevallier
Summary: This research focuses on the impact of oil trade patterns on cross-border systemic risk spillovers, finding that bilateral oil trade and import competition have a positive effect on international systemic risk spillovers. Risks spillovers induced by oil-related risk events from Asian-Pacific countries are smaller compared to those from North America and Europe, and the influence of bilateral oil trade is higher and more persistent.
Article
Environmental Sciences
Jennifer V. Mecking, Sybren S. Drijfhout
Summary: Using climate projections, this study finds that future ocean heat transport is expected to decrease, primarily driven by a decline in overturning circulation, which will affect the global warming signal in Northwest Europe.
NATURE CLIMATE CHANGE
(2023)
Article
Physics, Fluids & Plasmas
H. Masoomy, V. Adami, M. N. Najafi
Summary: Centrality measures play a fundamental role in classifying complex networks, and the maximal b-k exponent for scale-free networks is found to be 2. However, this conjecture is proven to be invalid for some correlated time series, such as the BTW model and FBM. The failure of the conjecture is attributed to large fluctuations in the scaling b-k relation, resulting in emergent anomalous behavior.
Article
Environmental Studies
Guimei Zhao, Wenxiu Li, Yong Geng, Raimund Bleischwitz
Summary: This study aims to uncover the key features of antimony-related trade flows and assess the trade network linkage and features of global antimony resource. The results show that the network structure of the global antimony resource presents a significant center-periphery feature. China, India, Vietnam, and Tajikistan have always acted as trade intermediaries and bridges of global antimony resources. Geopolitics is the biggest obstacle to maintain the operation of this global antimony trade network.
Article
Computer Science, Artificial Intelligence
Hong-Hai Qiao, Zheng-Hong Deng, Hui-Jia Li, Jun Hu, Qun Song, Li Gao
Summary: The proposed method for complex time-series networks involves establishing networks, selecting core nodes, revising attributes of unstable nodes, and classifying historical phases based on clustering consequences. Experimental results show that the method outperforms other evaluated algorithms in terms of accuracy, reduces the number of historical phases reasonably, and reflects the historical tendency of terrorism through classification results.
Article
Mathematics, Applied
Yuyao Wang, Zhan Bu, Huan Yang, Hui-Jia Li, Jie Cao
Summary: The SIMGT approach, integrating social identity model and game theory, effectively detects overlapping communities in complex networks, revealing community structures accurately. By incorporating weighting, rewiring, nodes' utility functions, and non-cooperative games, SIMGT outperforms benchmark algorithms and demonstrates scalability, especially when utilizing the Jaccard coefficient for community detection.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Computer Science, Information Systems
Hui-Jia Li, Lin Wang, Zhan Bu, Jie Cao, Yong Shi
Summary: This article introduces a new method for assessing Markov criticality, which can effectively identify critical links in networks. Additionally, a novel vulnerability index is proposed to measure the vulnerability level in networks. Experimental results demonstrate that this method outperforms existing baseline approaches in terms of overall performance.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2022)
Article
Mathematics, Applied
Honghai Qiao, Zhenghong Deng, Huijia Li, Jun Hu, Qun Song, Chengyi Xia
Summary: This study proposes a novel analysis technique based on time series complex network theories to effectively divide historical urban air quality information. Simulation experiments demonstrate that the proposed algorithm has superior clustering accuracy compared to other methods, which is beneficial for statistical analysis.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Hui-Jia Li, Wenzhe Xu, Shenpeng Song, Wen-Xuan Wang, Matjaz Perc
Summary: In recent years, research on epidemic spreading on complex networks has been successful, but the dynamics of epidemic spreading on signed networks have received little attention. This study proposes a modified signed epidemiological model, incorporating positive and negative transmission rates based on structural balance theory, to investigate the impact of structural balance on epidemic dynamics. Through simulations and theoretical analysis, the study reveals the influence of network structure on epidemic spreading.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Physics, Multidisciplinary
Xiaopeng Li, Weiwei Han, Wenjun Yang, Juan Wang, Chengyi Xia, Hui-jia Li, Yong Shi
Summary: Due to the conflict between limited resources and infinite demand, the impact of limited resources on human behavior cannot be ignored. In this study, a resource-based conditional interaction model is proposed to investigate the evolution of cooperation. The model is validated using the prisoner's dilemma game and asynchronous strategy update. The results demonstrate that promoting cooperation can be achieved through an optimal tolerance interval.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Automation & Control Systems
Huijia Li, Wenzhe Xu, Chenyang Qiu, Jian Pei
Summary: This paper proposes a new Markov clustering algorithm based on the limit state of the belief dynamics model, which aims to accurately and efficiently detect graph cluster configurations. The algorithm guarantees ideal cluster configuration and has a fast convergence speed, as demonstrated in experiments.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Multidisciplinary Sciences
Xue Yang, Yongmei Su, Huijia Li, Xinjian Zhuo
Summary: This paper proposes a new Caputo fractional-order HCV Periodic immune response model and studies the relationship between different basic reproductive numbers and equilibrium points, as well as the effectiveness of two control strategies.
Article
Psychology, Multidisciplinary
Jun Hu, Junhua Chen, Peican Zhu, Shuya Hao, Maoze Wang, Huijia Li, Na Liu
Summary: This study analyzes carbon emissions data from 30 provinces in 2020 and finds that lockdown measures can lead to a short-term decrease in carbon emissions, with the timing of the impact closely related to economic development and industrial structure. These findings provide valuable insights into energy issues and strategies in the post-pandemic era.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Chengyi Xia, Yongping Luo, Li Wang, Hui-Jia Li
Summary: This article introduces an improved modularity function and a new community detection algorithm for signed networks, which have been experimentally shown to effectively identify the actual number of communities and reveal the community structure within real-world systems.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Jinlong Ma, Min Li, Hui-Jia Li
Summary: The function of the network is related to its composition and structure. Multilayer network models can better avoid congestion. Heterogeneity in the high-speed and low-speed layers can lead to congestion, while homogeneity in structure is beneficial for obtaining large traffic capacity.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Physics, Applied
Lubing Wang, Haitao Ji, Xiaojun Peng, Lanyan Zeng, Jun Hu, Sha Zhu, Fujun Lai, Huijia Li
Summary: This paper analyzes the number of refugees in 156 countries from 1990 to 2020 and transforms the refugee population data of these countries into a complex network using the time series visibility graph (VG) method. It categorizes the income level of these countries and analyzes the impact of income level on refugee numbers. The TOPSIS comprehensive evaluation method based on the entropy weight approach is then employed to analyze the data. The study shows that the VG method and the TOPSIS evaluation method provide new perspectives and methods for studying the global refugee population growth trend.
MODERN PHYSICS LETTERS B
(2022)
Article
Physics, Multidisciplinary
Wenxuan Wang, Yuhao Feng, Siru Chen, Wenzhe Xu, Xinjian Zhuo, Hui-Jia Li, Matjaz Perc
Summary: This paper proposes a method to identify key leaders in real-life networks using a multi-agent leader-follower consensus system and defines a new index called leadership. The paper explores the emergence of network segregation driven by these leaders through the removal or rewiring of relations between nodes based on their contribution distance. The observed leaders-driven segregation dynamics reveals the dynamics of heterogeneous attributes that critically influence network structure and segregation.
NEW JOURNAL OF PHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Hui-Jia Li, Zhen Wang, Jie Cao, Jian Pei, Yong Shi
Summary: This paper discusses the significance of fusion engine design in various fields. The focus is on the problem of linear fusion at the feature level for multiple signal matrices with noises, and an efficient algorithm is proposed to solve this problem. The experimental results verify the superior performance of the algorithm in synthetic and real-life networks.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Mathematics, Interdisciplinary Applications
Bo Li, Tian Huang
Summary: This paper proposes an approximate optimal strategy based on a piecewise parameterization and optimization (PPAO) method for solving optimization problems in stochastic control systems. The method obtains a piecewise parameter control by solving first-order differential equations, which simplifies the control form and ensures a small model error.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza
Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Gengxiang Wang, Yang Liu, Caishan Liu
Summary: This investigation studies the impact behavior of a contact body in a fluidic environment. A dissipated coefficient is introduced to describe the energy dissipation caused by hydrodynamic forces. A new fluid damping factor is derived to depict the coupling between liquid and solid, as well as the coupling between solid and solid. A new coefficient of restitution (CoR) is proposed to determine the actual physical impact. A new contact force model with a fluid damping factor tailored for immersed collision events is proposed.
CHAOS SOLITONS & FRACTALS
(2024)
