Article
Mathematics, Interdisciplinary Applications
Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi
Summary: Clustering and closure coefficients are widely used indicators to describe the topological structure of a network. This study extends these coefficients to incomplete triangles in weighted directed multilayer networks through the introduction of the clumping coefficient. The proposed coefficients are organized into a systematic taxonomy and can be adapted to different scales of multilayer networks. The tensor formalism is also used to unify the new and existing definitions, allowing for comprehensive analysis of network structure. The effectiveness of the proposed coefficients in capturing different characteristics of network structure on different scales is demonstrated through applications to simulated networks.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Jing Liu, Junfang Guo, Qi Li
Summary: A seed selection algorithm based on fusion degree and clustering coefficient is proposed in this study, which calculates weight values through the entropy weight method to optimize community results. Experimental results show that the algorithm achieves better community partitioning results than other state-of-the-art algorithms.
Article
Computer Science, Information Systems
Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi
Summary: This study proposes a new clustering coefficient for multiplex networks to describe the interactions between assets in the financial market. By applying it to a multiplex temporal financial network based on the returns of the S&P100 assets, the effectiveness of the proposed measures in describing the dependencies between assets over time is demonstrated.
INFORMATION SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Danish Tantary, Arun K. Tangirala, Raghu Murthugudde, Subimal Ghosh, Rohini Kumar, Udit Bhatia
Summary: Synchronous extreme rainfall events during the India monsoon season have been persistent over the past century, tending to concentrate in Central India and remaining highly localized. These events are correlated with El Nino Southern Oscillations (ENSO), with more synchronization during strong El Nino periods and less during La Nina conditions.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Ergonomics
M. Al Hamami, T. C. Matisziw
Summary: Vehicular accidents can happen anywhere and at any time, but research suggests that spatial and temporal dependencies among accidents likely exist. Analyzing the morphological characteristics of accident hot spots and tracking their dynamics is crucial for mitigation and prevention efforts. A GIS-based framework can be utilized to facilitate the analysis of hot spot morphology over time and detect informative spatial and temporal patterns.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Mathematics, Interdisciplinary Applications
Xing-Zhang Wen, Yue Zheng, Wen-Li Du, Zhuo-Ming Ren
Summary: This article investigates the impact of network topology on classical node centralities, including degree, closeness, betweenness, and eigenvector. Through constructing two types of growing scale-free networks with adjustable clustering coefficient and assortativity, and simulating three null models on ten real networks to adjust cluster and assortativity, the study finds that cluster and assortativity have a significant impact on node centrality in complex networks. Therefore, it is important to consider network topology when selecting node centralities to identify the significance or influence of nodes in complex networks.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Green & Sustainable Science & Technology
Ming Li, Wei Yu, Jun Zhang
Summary: This research constructs a multilayer network of line flow by building a line network with the Space L model based on complex networks and a passenger flow network with smart card big data. It improves the calculation method of the clustering coefficient of weighted networks, introduces the concept of node group, and calculates the clustering coefficient of nodes and the whole network in the multilayer network. The degree of passenger flow activity in the network thermal diagram is used to represent the passenger flow activity of the line-flow network. This method can be used to evaluate the clustering effect of metro stations and identify the business districts in the metro network, thus improving the level of intelligent transportation management and providing a theoretical basis for transportation construction and business planning.
Article
Physics, Multidisciplinary
Matteo Milazzo, Federico Musciotto, Salvatore Micciche, Rosario N. Mantegna
Summary: This study analyzed the structure and dynamics of flight networks in the European airspace for 50 airlines in 2017. The findings revealed that the concentration of nodes in the flight networks varied significantly among airlines, reflecting the heterogeneity of their business models. By examining the occurrence patterns of different motifs in the airline networks, an unsupervised classification of airlines was obtained using hierarchical clustering techniques. The resulting hierarchical tree provided valuable information about the properties and characteristics of each airline.
Article
Mathematics
Gregory J. J. Clark
Summary: This paper discusses the principal ratio of graphs, the coefficient of variation of principal eigenvectors, and their relationship, showing bounds and convergence cases, including a graph family with principal ratio converging to the golden ratio. It also presents conjectures about extremal graphs of these statistics.
LINEAR & MULTILINEAR ALGEBRA
(2022)
Article
Green & Sustainable Science & Technology
Hayam Alamro, Hamed Alqahtani, Fahad F. Alruwaili, Sumayh S. Aljameel, Mohammed Rizwanullah
Summary: This paper introduces a technology that uses blockchain and clustering scheme to build secure and smart vehicular ad-hoc networks (VANETs). This technology improves data integrity, security, resource allocation, and streamlines processes in the transportation system. The proposed technique utilizes quantum mayfly optimization-based clustering scheme to establish a secure VANET and employs blockchain technology as trust infrastructure. Simulation results demonstrate the effectiveness of the technique in protecting data integrity and achieving high throughput.
Article
Physics, Multidisciplinary
Claudiu Herteliu, Susanna Levantesi, Giulia Rotundo
Summary: This paper analyzes the Italian pension funds and their declared benchmarks to determine if they align with optimal portfolios. By comparing different network constructions for optimization, a new efficient frontier is discovered which outperforms the Markowitz model. Performance comparisons between pension funds and their declared benchmarks are also reported.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Guojiang Shen, Difeng Zhu, Jingjing Chen, Xiangjie Kong
Summary: With the development of intelligent transportation systems, clustering methods have gained significant attention for traffic pattern recognition in road networks. However, the complex relationships among different segments in road networks have been overlooked. To address this issue, this study proposes a clustering method for motif-based attributed road networks and demonstrates its superiority through experiments.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ubaida Fatima, Saman Hina, Muhammad Wasif
Summary: Nowadays, it is important to identify profitable product combinations in large product networks. Sophisticated techniques, such as centrality metrics, are commonly used for data exploration and analysis. This research introduces a novel method called global clustering coefficient-dependent degree centrality (GD) for analyzing profitable product links in a large network. The results show that GD is preferable over other methods to avoid uncertainties in computation and to improve scalability.
JOURNAL OF COMPUTATIONAL SCIENCE
(2023)
Article
Physics, Multidisciplinary
Aobo Zhang, An Zeng, Ying Fan, Zengru Di
Summary: This study explores multiplex interactions and network transformation, proposing an algorithm based on the link clustering coefficient to successfully separate aggregated networks into multilayer networks. The algorithm's validity is verified in synthetic networks and real international trading networks, indicating its effectiveness in handling overlapping links and accurately splitting different layers.
NEW JOURNAL OF PHYSICS
(2021)
Article
Computer Science, Information Systems
Mudasir Ahmad Wani, Suraiya Jabin
Summary: This paper presents a classification system based on mutual clustering coefficient and user profile information for detecting suspicious links within user communities in online social networks. Experimental results demonstrate that basic and easily available features such as work, education, hometown, current city, along with the mutual clustering coefficient, play a vital role in the successful detection of suspicious links.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Physics, Multidisciplinary
Tinggui Chen, Baizhan Xia, Dejie Yu, Chuanxing Bi
Summary: This study proposes a gradient phononic crystal structure for enhanced acoustic sensing. By breaking the symmetry of the PC structure, topologically protected edge states are introduced, resulting in topological acoustic rainbow trapping. The robustness and enhancement properties are verified numerically and experimentally.
