Supernetwork Model Research Articles

A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters

Nowadays, the focus of flow shops is the adoption of customized demand in the context of service-oriented manufacturing. Since production tasks are often characterized by multi-variety, low volume, and a short lead time, it becomes an indispensable factor to include supporting logistics in practical scheduling decisions to reflect the frequent transport of jobs between resources. Motivated by the above background, a hybrid method based on dual back propagation (BP) neural networks is proposed to meet the real-time scheduling requirements with the aim of integrating production and transport activities. First, according to different resource attributes, the hierarchical structure of a flow shop is divided into three layers, respectively: the operation task layer, the job logistics layer, and the production resource layer. Based on the process logic relationships between intra-layer and inter-layer elements, an operation task–logistics–resource supernetwork model is established. Secondly, a dual BP neural network scheduling algorithm is designed for determining an operations sequence involving the transport time. The neural network 1 is used for the initial classification of operation tasks’ priority; and the neural network 2 is used for the sorting of conflicting tasks in the same priority, which can effectively reduce the amount of computational time and dramatically accelerate the solution speed. Finally, the effectiveness of the proposed method is verified by comparing the completion time and computational time for different examples. The numerical simulation results show that with the increase in problem scale, the solution ability of the traditional method gradually deteriorates, while the dual BP neural network has a stable performance and fast computational time.

Dynamic equilibrium mechanism of the closed-loop electric vehicle industry chain based on super-network model

At present, electric vehicle (EV) development has been widely accepted as a coping strategy by countries encountering environmental issues. However, there remain some uncertainties surrounding the future of China’s EV industry. The super-network provides an effective solution to the research on optimising subject decisions in a multilevel network model. On this basis, a closed-loop super-network model of the EV industrial chain system is proposed, which involves four different participants: EV manufacturer, sales company, consumer market, and recycling company. Furthermore, the variables are extracted based on practice, the behavioural strategies of each participant are analysed, and the dynamic equilibrium is determined with variational inequalities. Through numerical analyses, a further study is conducted on the main influencing factors and the extent of their impact on the dynamic equilibrium of the system. According to the results, the main research questions are answered, and some suggestions are made on the formulation of appropriate regulations.

Research on the influence of social capital on cooperation among subjects in electronic public service supply chain: a supernetwork model analysis

Research on the influence of social capital on cooperation among subjects in electronic public service supply chain: a supernetwork model analysis

The technology and digital financial risk management model using intelligent data processing

In order to explore the direct connection between financial technology and digital financial risk management, this paper combines intelligent data processing methods to apply financial technology to digital financial risk management, and analyzes it by taking Internet finance as an example. In order to establish a hypernetwork model consisting of capital owners, Internet financial intermediaries, traditional financial intermediaries, and capital demanders. In addition, this paper introduces the credit penalty function and the operational risk function to build an Internet financial super-network model considering the relationship level, so as to study the general equilibrium state of the integrated super-network composed of social networks and Internet financial networks. The experimental research results show that there is a certain correlation between financial technology and digital financial risk management, so we should pay attention to the application of financial technology in digital financial risk management while developing digital finance.

Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain

• Uncovered the general mechanisms that may not only be held responsible for the awakening of SBs but also the attention received by papers. • Proved that the awakening effect does exist ubiquitously, and tried to quantify it. • Proposed a super-network model that may be used to depict the knowledge diffusion trajectory and a systematic feature-searching method that can find complicated features efficiently. Inspired by “sleeping beauties in science”, we proposed that the awakening effect in knowledge diffusion is ubiquitous, whereas the “prince” paper has the strongest effect. To test this hypothesis, a three-layer super-network model depicting the knowledge diffusion trajectory is designed and the diffusion path of the awakening effect (defined on the basis of influential strength) is simulated. In detail, the model is built based on the citation network and collaboration network of 63785 publications in the library and information science domain. Through meta-paths in this super-network, the influential strength of a paper and the awakening effect from neighboring papers can be quantified into 36 numerical features. By testing the effectiveness of these features in citation counts prediction, we try to prove our hypothesis. Thus an effective predictor in machine learning is trained upon these features. Using this predictor, we showed that most neighboring papers in the super-network had effects on future citation counts. The effectiveness of these features is again demonstrated through experiments on papers with different publication years. We also did a case study on papers that were significantly affected by the awakening effect, and found that the model proposed in this paper can also be used to explain some common phenomena in knowledge diffusion. All results show that the awakening effect could be not only ubiquitous but also quantifiable.

Sustainable collaborative innovation capability enhancement paths of marine ranching: Supernetwork analysis perspective

In order to solve the problem of weak innovation ability of marine ranching enterprises, it is necessary to establish a collaborative innovation system involving multiple subjects to break the innovation boundary of enterprises. At the same time, because the collaborative innovation system of marine ranching is a complex network system, this paper designs the supernetwork model of collaborative innovation in marine ranching based on supernetwork theory, by analyzing the operation mechanism of relationship coordination network, resource sharing network and cooperative innovation network in supernetwork, solving the network equilibrium conditions and the path to realize supernetwork equilibrium based on variational inequality. Through numerical examples, this paper draws the following conclusions: (a) When the relationship coordination network, resource sharing network and cooperative innovation network all reach equilibrium, the marginal total cost of the three networks is equal to the marginal total value, the cooperative innovation super network of marine ranching reaches equilibrium state; (b) the supernetwork model of collaborative innovation in marine ranching needs to go through two states: “initial-intermediate” and “intermediate-equilibrium” to achieve equilibrium. Finally, this paper puts forward suggestions on the behavior of the participants to ensure the stable operation of the marine ranching collaborative innovation system.

An emergency supplies scheduling for chemical industry park: based on super network theory.

In a concentrated area of chemical industry parks (CIPs), emergency relief efficiency is not only affected by the rescue capability of themselves, but also their coordination relationships with other CIPs. Previous studies focus on the location of resource warehouse and the scheduling of logistics transportation, in the relief process after unexpected events, but rarely integrate them ideally in practice. This paper utilizes the super network theory to propose a regional emergency scheduling model to improve collaboration efficiency among primary relief centers (PRC), local relief centers (LRC), and CIPs. So, the proposed super network model fills the research gap of only considering emergency logistic supply chain and provides decision scheme regarding the emergency material dispatch plan. We developed a modified projection algorithm to solve the scheduling problem by turning it to a variational inequality and compare the performance under several disaster scenarios. The practicability of the model is proved by the result of the numerical example given.

Unfolding the synergy and interaction of water-land-food nexus for sustainable resource management: A supernetwork analysis

Given the large amounts of water, land, and food embodied in the trade of goods and services, a key step in decoupling extensive resource consumption from the economic system is to understand the full impact of socioeconomic development on the water-land-food nexus. This study integrates input–output analysis, ecological network analysis, and Dempster–Shafer evidence theory into a supernetwork model to detect the water-land-food nexus among economic sectors with an aim to explore effective strategic paths for resource management and to facilitate the construction of a resource-saving society. Results show that most sectors of China are resource inefficient and that all resource systems are unsustainable as reflected in the low performance of their Finn's cycling index and system robustness. Meanwhile, results of flow networks analysis show an extremely uneven land resource allocation where more than 94% of the land used in China is classified as direct agricultural land. The water-land-food nexus can gain resource saving bonus via enhancing the robustness of economy. However, the co-benefits from the nexus are negligibly small for the resource utilization efficiency. The results also indicate that the relevant resource-saving policies on food and water are highly likely to gain resource co-benefits due to their similarities in sectoral importance. Correspondingly, a set of strategic measures, including adopting a tiered resource price, deepening industrial convergence of agriculture, enhancing agriculture-food nexus, and managing water or land use from the food consumer side, are designed to build a resource-saving society. The findings of this study can provide additional insights into the impacts of the economy on the water-land-food nexus, which is beneficial for achieving an efficient and coordinated management of resources.

Strategy of establishing the super network emergency plan system in coastal cities of China

To make the emergency plan system more feasible and make up for the deficiency of current emergency management organization, a super network structure model of the emergency plan system of coastal cities based on risk scenarios, emergency tasks, emergency resources and emergency capabilities is proposed. Firstly, according to the requirements of the super network structure and the key influencing factors of the emergency plan system in coastal cities, four types of core elements, namely risk scenarios, emergency tasks, emergency resources and emergency capabilities, are proposed. Secondly, the paper defined the relationship of similar core elements and heterogeneous core elements and established a super network structure of coastal city emergency plan system, which consists of four types of core elements and multi-nodes participating in super edge. Thirdly, in order to measure the feasibility of the emergency plan system, the comprehensive index evaluation method of feasibility is proposed by integrating three indicators: node correlation degree, emergency plan system coordination ability and emergency plan system similarity. Finally, the case application shows that the super network model provides an effective method for establishing emergency plan system of coastal cities in China.

A weighted knowledge super network model for collaborative product innovation based on adjacency matrix

Aiming at the problems existing in traditional methods such as poor destructibility, low knowledge processing capacity and easy loss of product innovation weighted knowledge, a collaborative product innovation weighted knowledge hypernetwork model based on adjacency matrix was designed. A knowledge sharing network model is established, which is used to transform product design tasks and form multiple sub-tasks. Acquire knowledge points and carry out network modelling, acquire the membership relationship between knowledge points, design individual knowledge subgraphs, and represent different knowledge subgraphs through adjacency matrix. The hypernetwork model is constructed, and the model is used to calculate knowledge points and relevant weights of knowledge, and the knowledge fusion is realised based on the calculation results, so as to realise the construction of knowledge hypernetwork model. The results show the maximum destruction resistance coefficient of the model is about 0.8, and the maximum product innovation weighted knowledge loss rate is only 15.2%.

A weighted knowledge super network model for collaborative product innovation based on adjacency matrix

Aiming at the problems existing in traditional methods such as poor destructibility, low knowledge processing capacity and easy loss of product innovation weighted knowledge, a collaborative product innovation weighted knowledge hypernetwork model based on adjacency matrix was designed. A knowledge sharing network model is established, which is used to transform product design tasks and form multiple sub-tasks. Acquire knowledge points and carry out network modelling, acquire the membership relationship between knowledge points, design individual knowledge subgraphs, and represent different knowledge subgraphs through adjacency matrix. The hypernetwork model is constructed, and the model is used to calculate knowledge points and relevant weights of knowledge, and the knowledge fusion is realised based on the calculation results, so as to realise the construction of knowledge hypernetwork model. The results show the maximum destruction resistance coefficient of the model is about 0.8, and the maximum product innovation weighted knowledge loss rate is only 15.2%.

Link prediction in supernetwork: Risk perception of emergencies

After an emergency incident occurs, how to identify risks, predict trends and scientifically cope before the crisis erupts is the basic starting point of this study. In this study, a supernetwork model of the risk perception in emergencies is innovatively constructed from the perspective of the governance of risks. This supernetwork model includes three subnetworks: the similar relationship subnetwork that is composed of newly occurring emergencies, the chain relationship subnetwork that is composed of historical emergencies and the co-occurrence relationship subnetwork that is composed of the risk elements for emergencies. Afterwards, the feature similarity algorithm is applied to quantify the relations between newly occurring emergencies and historical emergencies, and then, the link prediction algorithm is applied to predict the risk elements that may be derived from the newly occurring emergencies. This will be beneficial to enhancing the scientific accuracy of decision-making by managers when coping with emergencies risks.

Research on the Identification of Key Nodes in the Process of WeChat Epidemic Information Dissemination: A Supernetwork Perspective

It is of great significance to comprehensively and reasonably identify the key nodes in the WeChat epidemic information dissemination system. First, the recognition results can be used to guide the spread of epidemic-related information in WeChat, such as accelerating the spread of valuable information or monitoring the spread of rumors. Secondly, the analysis of key nodes helps us understand the evolution of the epidemic information dissemination network in WeChat, and the analysis of key nodes also helps us understand the modes and methods of epidemic-related information dissemination in WeChat. Finally, the results of these studies may be generalized to other fields of social life. This paper analyzes the composition of and relationship between epidemic-related information dissemination systems in WeChat and proposes a Supernetwork model for WeChat epidemic information dissemination on this basis. In this study, a comprehensive identification method of key nodes of the WeChat epidemic information dissemination system under the Supernetwork vision was constructed, and the method is analyzed and verified through examples in this paper.

Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop

Modern manufacturing enterprises are shifting toward multi-variety and small-batch production. By optimizing scheduling, both transit and waiting times within the production process can be shortened. This study integrates the advantages of a digital twin and supernetwork to develop an intelligent scheduling method for workshops to rapidly and efficiently generate process plans. By establishing the supernetwork model of a feature-process-machine tool in the digital twin workshop, the centralized and classified management of multiple data types can be realized. A feature similarity matrix is used to cluster similar attribute data in the feature layer subnetwork to realize rapid correspondence of multi-source association information among feature-process-machine tools. Through similarity calculations of decomposed features and the mapping relationships of the supernetwork, production scheduling schemes can be rapidly and efficiently formulated. A virtual workshop is also used to simulate and optimize the scheduling scheme to realize intelligent workshop scheduling. Finally, the efficiency of the proposed intelligent scheduling strategy is verified by using a case study of an aeroengine gear production workshop.

A PRIMARY EXPLORATION ON THE SUPER-NETWORK MODEL OF ECONOMIC DEVELOPMENT UNDER THE RESTRICTION OF RESOURCES AND ENVIRONMENT

With the theory of super-network and the variational inequality method, this paper establishes a super-network model of economic development in three aspects, builds a new indicator system for measuring economic development, and calculates the equilibrium conditions for the balance of economic development. Firstly, the economic development is divided into three parts: economic growth, ecological environment optimization and scientific and technological progress. Respectively, with the set of measuring indicators in three aspects as a point of super-network and the link between these indicators as a super edge, thus a super-network model is established. Secondly, the hierarchical variable clustering analysis method is used to analyze the tightness of the links among the nodes in the super-network; and the objective function is established by using the partial measurement index, which simplifies the model. Finally, the variational inequality and projection iterative algorithm are used to calculate the equilibrium condition of the whole model. The main conclusions in this paper are as follows: (1) The indicators of economic development are interrelated with each other. (2) It can contribute to the balanced development of the economy in satisfied certain conditions.

An Integrated Model for User Innovation Knowledge Based on Super-Network

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Purpose:</i> This article aims to provide an integrated model and methodology for discovering valuable innovation knowledge and creative users in online innovative communities. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Design/methodology/approach:</i> The super-network integration approach is applied in constructing the user's innovation knowledge super-network (UIKSN) model based on knowledge fragments discovered from user-generated content (UGC) data using text mining methods. The social network analysis (SNA) methodology is then used to analyze the KSN model. An empirical research is conducted with China's Xiaomi online community to illustrate the UIKSN model and the SNA methodology. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Findings:</i> Compared with current methods, the proposed KSN model and SNA methodology are demonstrated to be more effective and valid in discovering valuable innovation knowledge including valuable innovations, innovation trends, creative users and their knowledge background, etc. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Research limitations/implications:</i> The results of KSN modeling and analysis are inevitably influenced by the performance of text mining methods. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Practical implications:</i> More and more companies start to adopt online community user's innovations in their new product developments. However, it is difficult to discover users’ opinions and innovations from the UGC due to its tremendous volume. Therefore, the KSN model and SNA methodology presented in this article are helpful for companies to manage online communities and to utilize users’ innovations effectively and efficiently. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Originality/value:</i> The article provides two main contributions in the study of online communities: 1) a well-justified model (users' innovation KSN, UIKSN) to explore online users’ contributions; 2) a new and more effective methodology to discover and analyze valuable innovations and innovative users.

Analysis of the Passenger Flow Transfer Capacity of a Bus-Subway Transfer Hub in an Urban Multi-Mode Transportation Network

In the context of a rapid developing urban economy and the increasing number of motor vehicles, urban commuting transportation has witnessed a serious mismatch between the supply of and the demand for transportation network resources. In developing an urban multi-mode traffic network, using a urban traffic transfer hub to coordinate the transportation capabilities among different traffic networks is perceived to be highly effective for exploring the network transportation capacity of an entire transportation system, and improving travel efficiency and experiences for the public. Based on the super-network model, this paper develops a topological structure for a multi-mode traffic network, in which two typical combined travel modes are selected to establish the path impedance function for that network. Moreover, the multi-mode traffic allocation model and the solving algorithm are constructed in the research. The paper studies the impact of two types of factors related to the transfer capacity of passenger flows based on the regular traffic network of a bus-and-subway transfer hub using a sensitivity analysis of the transfer time and the associated penalty. The findings suggest that both changes in transfer walking time and the transfer penalty have no significant effect on the bus passenger flow.

A “User-Knowledge-Product” Co-Creation Cyberspace Model for Product Innovation

To benefit from users’ co-creation knowledge in online communities, enterprises need effective methods to discover and manage co-creation users and knowledge as suggested in existing research. However, the existing methods still have their own limitations when analysing different relationships and networks. Therefore, first, this paper proposes a co-creation cyberspace super-network model for product innovation from a “user-knowledge-product” perspective to integrate the co-creation information of users, knowledge, and products. Second, to increase the accuracy of discovering, managing, and using the co-creation knowledge, three subnetworks including co-creation user network, co-creation knowledge network, and co-creation product network as well as the relationships among them are constructed and improved. Third, a well-known co-creation community in China is selected as a case to verify the feasibility and validity of the proposed model for enterprise’s product innovation. Three subnetworks and the mapping relationships among them are constructed and visualized based on the introduced User-Knowledge-Product Cyberspace model. The results from the case study validate the co-creation cyberspace constructed in this paper and provide enterprises with a comprehensive and detailed integration framework analysis model. Hence, the enterprises can use this model for user discovery, product innovation knowledge mining, and dynamic innovation knowledge basement and forecast hotspot trend in co-creation communities.

Modelling and analysis of complex products design based on supernetwork

PurposeBecause of the multiple design elements and complicated relationship among design elements of complex products design, it is tough for designers to systematically and dynamically express and manage the complex products design process.Design/methodology/approachTo solve these problems, a supernetwork model of complex products design is constructed and analyzed in this paper. First, the design elements (customer demands, design agents, product structures, design tasks and design resources) are identified and analyzed, then the sub-network of design elements are built. Based on this, a supernetwork model of complex products design is constructed with the analysis of the relationship among sub-networks. Second, some typical and physical characteristics (robustness, vulnerability, degree and betweenness) of the supernetwork were calculated to analyze the performance of supernetwork and the features of complex product design process.FindingsThe design process of a wind turbine is studied as a case to illustrate the approach in this paper. The supernetwork can provide more information about collaborative design process of wind turbine than traditional models. Moreover, it can help managers and designers to manage the collaborative design process and improve collaborative design efficiency of wind turbine.Originality/valueThe authors find a new method (complex network or supernetwork) to describe and analyze complex mechanical product design.

Vulnerability of multinational corporation knowledge network facing resource loss

PurposeThe vulnerability of multinational corporation (MNC) knowledge network is one of the major causes for the failure and even the death of MNCs in the fierce global market competition. Employee turnover and knowledge loss are the triggers for the MNC knowledge network vulnerability and a matter of serious concern in the evolution and development of MNC knowledge network. The purpose of this work is to propose a valid and quantitative measurement method to investigate the influence of employee loss and knowledge loss on the vulnerability of MNC knowledge network.Design/methodology/approachMNC knowledge network is inherently a heterogeneous network where there are mainly two types of units: employees and their knowledge. Therefore, this paper establishes a weighted super-network model for MNC knowledge network to depict its heterogeneous composition. On the basis of the weighted MNC knowledge super-network, the static and dynamic vulnerability measurement methods are further proposed to investigate and evaluate MNC knowledge network vulnerability.FindingsA real case is given to illustrate the applicability of the proposed weighted MNC knowledge super-network model and the network vulnerability measurement methods. The results show the super-network model proposed in this paper can effectively embody the complex features of MNC knowledge network, and the vulnerability measurement methods can effectively investigate the influence of employee loss and knowledge loss on network vulnerability.Originality/valueFrom the perspective of super-network, researchers and practitioners can get a more systematic and deeper understanding of the MNC knowledge network and its human and knowledge resource constitute which are vital for the evolution and development of MNC. Moreover, the MNC knowledge network vulnerability measurement methods can effectively measure and analyze the influence of resource loss on network vulnerability, which can provide a helpful decision support for monitoring and managing of MNC knowledge network vulnerability to reduce its adverse effects.