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A multilayer network diffusion-based model for reviewer recommendation

Chinese Physics B 2024年第3期33卷 700-717页

作者：黄羿炜徐舒琪蔡世民吕琳媛 Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 611731China Yangtze Delta Region Institute (Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China Institute of Dataspace Hefei Comprehensive National Science CenterHefei 230088China Big Data Research Center University of Electronic Science and Technology of ChinaChengdu 611731China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China School of Cyber Science and Technology University of Science and Technology of ChinaHefei 230026China

With the rapid growth of manuscript submissions,finding eligible reviewers for every submission has become a heavy task.Recommender systems are powerful tools developed in computer science and information science to deal with this problem.However,most existing approaches resort to text mining techniques to match manuscripts with potential reviewers,which require high-quality textual information to perform well.In this paper,we propose a reviewer recommendation algorithm based on a network diffusion process on a scholar-paper multilayer network,with no requirement for textual information.The network incorporates the relationship of scholar-paper pairs,the collaboration among scholars,and the bibliographic coupling among papers.Experimental results show that our proposed algorithm outperforms other state-of-the-art recommendation methods that use graph random walk and matrix factorization and methods that use machine learning and natural language processing,with improvements of over 7.62%in recall,5.66%in hit rate,and 47.53%in ranking score.Our work sheds light on the effectiveness of multilayer network diffusion-based methods in the reviewer recommendation problem,which will help to facilitate the peer-review process and promote information retrieval research in other practical scenes.

关键词： reviewer recommendation multilayer network network diffusion model recommender systems complex networks

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Behavioral finance between the spot and futures markets based on multilayer network

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The Journal of China Universities of Posts and Telecommunications 2023年第6期30卷 82-88页

作者： Zhang Sicong Dai Jianzhuo Huang Wenjing Mi Xinping Electric Power Research Institute State Grid Jiangsu Electric Power Co.Ltd.Nanjing 210013China Jiangsu Anfang Electric Power Technology Co. Ltd.Taizhou 225300China

In order to study the financial behavior of investors in the spot market,the transmission process of futures prices to spot prices is analyzed.Firstly,a coarse-graining method is proposed to construct a dual-layer coupled complex network of spot price and futures price.Then,to characterize the financial behavior of investors in the spot market,a price coupling strength indicator is introduced to capture investors’overreaction and underreaction behavior.The simulation results show that,despite the focus of researchers on arbitrage opportunities between futures and spot markets,investors in the spot market will not overreact or delay when the acceptance level of price fluctuations remains unchanged.On the contrary,when the stable coefficient of the price difference between the futures and spot markets remains unchanged,investors undergo a nonlinear process of overreaction followed by underreaction as their acceptance level of price fluctuations increases.

关键词： multilayer network spotmarket futuresmarket

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Using multilayer network analysis to explore the temporal dynamics of collective behavior

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Current Zoology 2021年第1期67卷 71-80页

作者： David N.FISHER Noa PINTER-WOLLMAN Department of Psychology Neuroscience&BehaviourMcMaster UniversityHamiltonON L8S 4K1Canada School of Biological Sciences University of AberdeenAberdeenAB243FXUK Department of Ecology and Evolutionary Biology University of CaliforniaLos AngelesCAUSA

Social organisms often show collective behaviors such as group foraging or movement.Collective behaviors can emerge from interactions between group members and may depend on the behavior of key individuals.When social interactions change over time,collective behaviors may change because these behaviors emerge from interactions among individuals.Despite the importance of,and growing interest in,the temporal dynamics of social interactions,it is not clear how to quantify changes in interactions over time or measure their stability.Furthermore,the temporal scale at which we should observe changes in social networks to detect biologically meaningful changes is not always apparent.Here we use multilayer network analysis to quantify temporal dynamics of social networks of the social spider Stegodyphus dumicola and determine how these dynamics relate to individual and group behaviors.We found that social interactions changed over time at a constant rate.Variation in both network structure and the identity of a keystone individual was not related to the mean or variance of the collective prey attack speed.Individuals that maintained a large and stable number of connections,despite changes in network structure,were the boldest individuals in the group.Therefore,social interactions and boldness are linked across time,but group collective behavior is not influenced by the stability of the social network.Our work demonstrates that dynamic social networks can be modeled in a multilayer framework.This approach may reveal biologically important temporal changes to social structure in other systems.

关键词： collective behavior dynamic network multilayer network multiplex social stability Stegodyphus

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Component Importance and Interdependence Analysis for Transmission, Distribution and Communication Systems

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 488-498页

作者： Tao Fu Dexin Wang Xiaoyuan Fan Qiuhua Huang Pacific Northwest National Laboratory Washington 99354United States

For critical infrastructure restoration planning,the real-time scheduling and coordination of system restoration efforts,the key in decision-making is to prioritize those critical components that are out of service during the restoration.For this purpose,there is a need for component importance analysis.While it has been investigated extensively for individual systems,component importance considering interdependence among transmission,distribution and communication(T&D&C)systems has not been systematically analyzed and widely adopted.In this study,we propose a component importance assessment method in the context of interdependence between T&D&C networks.Analytic methods for multilayer networks and a set of metrics have been applied for assessing the component importance and interdependence between T&D&C networks based on their physical characteristics.The proposed methodology is further validated with integrated synthetic Illinois regional transmission,distribution,and communication(T&D&C)systems,the results reveal the unique characteristics of component/node importance,which may be strongly affected by the network topology and cross-domain node mapping.

关键词： multilayer network interdependence computer networks

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A multi-layer modelling approach for mining versatile ports of a global maritime transportation network

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International Journal of Digital Earth 2023年第1期16卷 2129-2151页

作者： Peng Peng Christophe Claramunt Shifen Cheng Yu Yang Feng Lu State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China Naval Academy Research Institute Brest NavalFrance Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijingPeople’s Republic of China The Academy of Digital China Fuzhou UniversityFuzhouPeople’s Republic of China Jiangsu Center for Collaborative Innovation in Giographical Information Resource Development and Application NanjingPeople’s Republic of China

International ports play critical roles in maintaining transportation flows and sustaining the effectiveness of global maritime logistics.Although the concept of versatile ports has been introduced to represent the specific patterns that these ports play at the regional and global levels,there is still a need for the design and development of computational approaches that support these notions.This paper introduces a flexible multi-layer network approach for an international maritime network whose interest is that it offers a flexible model that favours the identification of the different transportation flows and versatile ports.The model is complemented by a series of structural indices complemented by a new overlap measure that evaluates the specific role of a given port across various transportation trades.The whole approach is implemented and experimented with using massive AIS maritime data that supports the automatic generation of the multi-layer network,and derivation of the structural measures while maintaining a flexible view of the maritime network.The experiments applied to the global maritime transportation network identify key versatile ports and highlight significant differences at the regional and trade flow levels.

关键词： Versatile port multilayer network aggregated network maritime transportation vessel trajectory data

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Cascading failure in multilayer networks with dynamic dependency groups＊

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Chinese Physics B 2018年第9期27卷 645-651页

作者：金磊王小娟张勇由婧文 Beijing University of Posts and Telecommunications Beijing 100876 China

The cascading failure often occurs in real networks. It is significant to analyze the cascading failure in the complex network research. The dependency relation can change over time. Therefore, in this study, we investigate the cascading fail- ure in multilayer networks with dynamic dependency groups. We construct a model considering the recovery mechanism. In our model, two effects between layers are defined. Under Effect 1, the dependent nodes in other layers will be disabled as long as one node does not belong to the largest connected component in one layer. Under Effect 2, the dependent nodes in other layers will recover when one node belongs to the largest connected component. The theoretical solution of the largest component is deduced and the simulation results verify our theoretical solution. In the simulation, we analyze the influence factors of the network robustness, including the fraction of dependent nodes and the group size, in our model. It shows that increasing the fraction of dependent nodes and the group size will enhance the network robustness under Effect 1. On the contrary, these will reduce the network robustness under Effect 2. Meanwhile, we find that the tightness of the network connection will affect the robustness of networks. Furthermore, setting the average degree of network as 8 is enough to keep the network robust.

关键词： cascading failure dependency group multilayer network

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Traffic dynamics on multilayer networks

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Digital Communications and networks 2020年第1期6卷 58-63页

作者： Jiexin Wu Cunlai Pu Lunbo Li Guo Cao School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing210094China

Many real-world networks are demonstrated to either have layered network structures in themselves or interconnect with other networks,forming multilayer network structures.In this survey,we give a brief review of recent progress in traffic dynamics on multilayer networks.First,we introduce several typical multilayer network models.Then,we present some mainstream performance indicators,such as network capacity,average transmission time,etc.Moreover,we discuss some optimization strategies for improving the transmission performance.Finally,we provide some open issues that could be further explored in the future.

关键词： multilayer network Traffic dynamics network model Routing strategy

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Analysis of overload-based cascading failure in multilayer spatial networks

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Chinese Physics B 2020年第9期29卷 404-414页

作者：张敏王小娟金磊宋梅廖中华 School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport network.In this paper,we construct two cascading failure models on the multilayer spatial network.In our research,the distance l between nodes within the layer obeys the exponential distribution P(l)~exp(-l/ζ),and the length r of dependency link between layers is defined according to node position.An entropy approach is applied to analyze the spatial network structure and reflect the difference degree between nodes.Two metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and stability.During the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,respectively.Besides,we discuss the factors affecting network robustness.Simulations demonstrate that the larger the values of average degree,the stronger the network robustness.As the length r decreases,the network performs better.When the probability p is small,asζdecreases,the network robustness becomes more reliable.When p is large,the network robustness manifests better performance asζincreases.These results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

关键词： cascading failure multilayer network load distribution spatial network entropy

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