scholarly journals How Do Innovation Network Structures Affect Knowledge Sharing? A Simulation Analysis of Complex Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Lupeng Zhang ◽  
Wenbo Chen
Keyword(s):  
Knowledge Sharing ◽  
Simulation Analysis ◽  
Great Influence ◽  
Small World ◽  
Innovation Network ◽  
Multilayer Network ◽  
Complex Network Theory ◽  
Scale Free ◽  
Knowledge Management Theory ◽  
Cooperative Innovation

Knowledge has become an important resource that can help enterprises gain a competitive advantage in the market. In this regard, knowledge sharing in the process of cooperative innovation provides an important way to acquire knowledge. With the development of innovation, the innovation network has become an important carrier of knowledge sharing, which can also have an influence on knowledge sharing. Based on knowledge management theory and complex network theory, this study constructed a multilayer network environment for knowledge sharing. It then identified the network elements and knowledge-sharing paths that influence knowledge sharing from microperspectives and macroperspectives. On this basis, the effects of node cohesion and weak connection on knowledge sharing in small-world and scale-free topologies were analyzed by computer simulation. The results showed that, in an innovation network with a scale-free topology, cohesion and weak ties had a great influence on the average knowledge level and knowledge equilibrium. Meanwhile, in small-world topological innovation networks, a mixed path had the best promotion effect on network knowledge sharing.

Modeling and Simulation for Complex Network Based Military System-of-Systems (SoS)

2011 ◽  
Vol 145 ◽  
pp. 224-228 ◽  
Author(s):  
Xiao Song ◽  
Bing Cheng Liu ◽  
Guang Hong Gong
Keyword(s):  
Modeling And Simulation ◽  
Complex Network ◽  
Network Topology ◽  
Network Theory ◽  
Small World ◽  
System Of Systems ◽  
Statistical Parameters ◽  
Complex Network Theory ◽  
Scale Free ◽  
Topology Model

Military SoS increasingly shows its relation of complex network. According to complex network theory, we construct a SoS network topology model for network warfare simulation. Analyzing statistical parameters of the model, it is concluded that the topology model has small-world, high-aggregation and scale-free properties. Based on this model we mainly simulate and analyze vulnerability of the network. And this provides basis for analysis of the robustness and vulnerability of real battle SoS network.

scholarly journals Complex network theory, streamflow, and hydrometric monitoring system design

2015 ◽  
Vol 19 (7) ◽  
pp. 3301-3318 ◽  
Author(s):  
M. J. Halverson ◽  
S. W. Fleming
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Small World ◽  
Detection Algorithm ◽  
Clustering Coefficient ◽  
Network Stability ◽  
Meteorological Forcing ◽  
Complex Network Theory ◽  
Scale Free ◽  
Seasonal Flow

Abstract. Network theory is applied to an array of streamflow gauges located in the Coast Mountains of British Columbia (BC) and Yukon, Canada. The goal of the analysis is to assess whether insights from this branch of mathematical graph theory can be meaningfully applied to hydrometric data, and, more specifically, whether it may help guide decisions concerning stream gauge placement so that the full complexity of the regional hydrology is efficiently captured. The streamflow data, when represented as a complex network, have a global clustering coefficient and average shortest path length consistent with small-world networks, which are a class of stable and efficient networks common in nature, but the observed degree distribution did not clearly indicate a scale-free network. Stability helps ensure that the network is robust to the loss of nodes; in the context of a streamflow network, stability is interpreted as insensitivity to station removal at random. Community structure is also evident in the streamflow network. A network theoretic community detection algorithm identified separate communities, each of which appears to be defined by the combination of its median seasonal flow regime (pluvial, nival, hybrid, or glacial, which in this region in turn mainly reflects basin elevation) and geographic proximity to other communities (reflecting shared or different daily meteorological forcing). Furthermore, betweenness analyses suggest a handful of key stations which serve as bridges between communities and might be highly valued. We propose that an idealized sampling network should sample high-betweenness stations, small-membership communities which are by definition rare or undersampled relative to other communities, and index stations having large numbers of intracommunity links, while retaining some degree of redundancy to maintain network robustness.

Evolution Model of Technology Innovation Cooperation Network of Software Enterprise

2014 ◽  
Vol 539 ◽  
pp. 355-359
Author(s):  
Wen Long Yu
Keyword(s):  
Technology Innovation ◽  
Target Selection ◽  
Small World ◽  
Selection Strategy ◽  
Complex Network Theory ◽  
Scale Free ◽  
Advantages And Disadvantages ◽  
Enterprise Technology ◽  
Cooperation Network ◽  
Innovation Cooperation

This article will complex network theory is introduced to the world's leading technology innovation cooperation network study, continue to deepen the theoretical study, by numerical simulation and empirical research on the method of combining technical innovation cooperation network to the evolution mechanism and its small world, scale-free characteristics were studied. First perfect the network modeling work decline period. Secondly, put forward the strategy of technology innovation diffusion, namely random selection, target selection and associated enterprises selection strategy, and compares the advantages and disadvantages of relationship between different strategies. Finally, combined the status quo of the cooperation technological innovation in our country, respectively from two levels to enterprises and government strengthen enterprise technical cooperation and improve enterprise technology innovation ability, and puts forward some Suggestions and countermeasures of technology innovation cooperation network further study is forecasted.

Selection Method of Customer Partners in Customer Collaborative Product Innovation

2014 ◽  
Vol 23 (4) ◽  
pp. 423-435 ◽  
Author(s):  
Fei Li ◽  
Yu Yang ◽  
Jianzhong Xie ◽  
Aijun Liu ◽  
Qian Chen
Keyword(s):  
Complex Network ◽  
Product Innovation ◽  
Online Community ◽  
Innovation Process ◽  
Partner Selection ◽  
Small World ◽  
Selection Method ◽  
Network Efficiency ◽  
Complex Network Theory ◽  
Scale Free

AbstractPartner selection is an important aspect of the customer collaborative product innovation process and aims to select innovative customer partners from huge numbers of customers, fast and accurately. The purpose of this article is to present a quantitative partner selection method based on the complex network theory. In this method, the complex network model of the Online Community Customer Network (OCCN) is constructed, and network centrality is used as the initial index of customer partner selection. Then, network efficiency and delta centrality are used to evaluate the effect of the index. An example is presented to reflect the feasibility and efficiency of the proposed method. Results validate the small-world and scale-free properties of the OCCN and show that betweenness centrality is the most appropriate index for partner selection in the OCCN.

scholarly journals An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Yongliang Deng ◽  
Liangliang Song ◽  
Zhipeng Zhou ◽  
Ping Liu
Keyword(s):  
Coal Mine ◽  
Path Length ◽  
Risk Control ◽  
Small World ◽  
Average Path Length ◽  
Clustering Coefficient ◽  
Mine Safety ◽  
Power Law Distribution ◽  
Complex Network Theory ◽  
Scale Free

Capturing the interrelations among risks is essential to thoroughly understand and promote coal mining safety. From this standpoint, 105 risks and 135 interrelations among risks had been identified from 126 typical accidents, which were also the foundation of constructing coal mine risk network (CMRN). Based on the complex network theory and Pajek, six parameters (i.e., network diameter, network density, average path length, degree, betweenness, and clustering coefficient) were employed to reveal the topological properties of CMRN. As indicated by the results, CMRN possesses scale-free network property because its cumulative degree distribution obeys power-law distribution. This means that CMRN is robust to random hazard and vulnerable to deliberate attack. CMRN is also a small-world network due to its relatively small average path length as well as high clustering coefficient, implying that accident propagation in CMRN is faster than regular network. Furthermore, the effect of risk control is explored. According to the result, it shows that roof collapse, fire, and gas concentration exceeding limit refer to three most valuable targets for risk control among all the risks. This study will help offer recommendations and proposals for making beforehand strategies that can restrain original risks and reduce accidents.

scholarly journals Exploration and Research on the Propagation Law of Seepage Risk Network in Tailings Storage Facility

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhixin Zhen ◽  
Xuewei Ma ◽  
Bo Ma
Keyword(s):  
Three Dimensional ◽  
Small World ◽  
Hazard Identification ◽  
Network Efficiency ◽  
The Sustainable Development ◽  
Complex Network Theory ◽  
Scale Free ◽  
Propagation Law ◽  
The Stability ◽  
Propagation Network

The seepage accident of a tailings pond poses a serious threat to the stability of tailings dams and the surrounding environment. To reduce the occurrence of seepage accidents, this paper studies the identification of seepage hazards, the propagation law of seepage risk, the importance of hazards, and the priority of hazard treatment. To overcome the subjectivity and omission of hazard identification, according to the complexity and dynamics of tailings seepage, this paper proposes the evidence-based identification method of three-dimensional seepage hazards (EIMTSH) to identify the hazards of the tailings seepage system and the relationship between hazards. Then, on the basis of identifying the hazards of the tailings seepage system, the propagation network of seepage risk in tailing ponds (PNSRTP) is constructed based on the complex network theory. By analyzing the characteristics of the PNSRTP, it can be found that the propagation of seepage risk is scale-free and small-world. Through the node deletion method, this paper finds that the nodes with a higher degree value can reduce the network efficiency more quickly and should be governed first. By giving priority to the treatment of hazards with higher degree, the propagation of seepage risk can be reduced more quickly and the risk management level of tailings ponds can be improved, which is helpful to realize the sustainable development of mining production.

A Social Network Structure Analysis of Former Smokers in Emerging Markets Using China’s Twitter

2021 ◽  
Vol 7 (5) ◽  
pp. 2286-2297
Author(s):  
Tao Xiaobo ◽  
Jin Ziniu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Emerging Markets ◽  
Tobacco Control ◽  
Simulation Analysis ◽  
Small World ◽  
Scale Free ◽  
Social Network Structure ◽  
Agent Simulation ◽  
Former Smokers

Objectives: Social networks are widely used for proping the process of tobacco control in emerging markets, but their formation and effects are not well understood. Using the micro blogging platform Sina (Sina Weibo, China’s Twitter) as an example, this article conducts a multi-agent simulation analysis of the Netlogo platform to analyze the micro-level behavioral characteristics of former smokers and macro-evolutionary law in the formation of social networks in emerging markets. The results show that the tobacco control in use of social networks have two characteristics: limitations on the size of the network and the in-degree and out-degree of its nodes as well as heterogeneous attributes of the nodes. This kind of network is better at simulating a real social network than small-world and scale-free networks.

Design of the Small World Model by NS2

2014 ◽  
Vol 496-500 ◽  
pp. 2338-2341
Author(s):  
Jun Shang ◽  
Hao Qiang Liu ◽  
Qiang Liu ◽  
Zi Qi Liu
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Applied Research ◽  
Lower Cost ◽  
Small World ◽  
Scale Free Network ◽  
World Model ◽  
Complex Network Theory ◽  
Scale Free ◽  
Free Network

WSN is the network which is used mostly in the world nowadays, and it has the characteristics that lower cost and better functions than other kinds of the network, and the WSN network is built by the ordinary nodes and the super nodes.Theoretical study of the complex network is widely involved in the fields of computer networks, and the applied research becomes more and more important in the future. It has caused many academic attention about how to apply the complex network theory among the specific application in recent years. In the complex network theory, there has been a number of important research results about the use of the small-world network, scale-free network in the field of transportation.

scholarly journals FedEx and UPS Network Structure and Accessibility Analysis Based on Complex Network Theory

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Changsong Zhao ◽  
Chunliang Xiu ◽  
Guanyi Yu
Keyword(s):  
Reference Value ◽  
Small World ◽  
The United States ◽  
United States Geological Survey ◽  
Air Cargo ◽  
Hub And Spoke ◽  
Organization Model ◽  
Complex Network Theory ◽  
Scale Free ◽  
Structure Complexity

With the expansion of the global air cargo transport system, the operating structure of air cargo has become increasingly separate from passenger counterpart, forming an independent organization model. Despite the Chinese air cargo capacity has grown exponentially in the past, its network is still in its infancy. FedEx and UPS have well-established air cargo networks and have operated effectively on both international and domestic scale; thus, understanding the structure and evolution of their air cargo networks is of a high reference value. In conjunction with the division of US regions from the United States Geological Survey (USGS), this paper refers to FedEx and UPS as FEPS and analyzes its topological structure, complexity properties, and air cargo accessibility by using social network analysis (SNA) and accessibility evaluation methods. The results suggest that (1) the structure of the FEPS air cargo network is in the highly developed states and has the typical “small-world” and “scale-free” network characteristics; (2) the degree centrality values for the nodes in the FEPS network suggest that the network complexity has increased; (3) airports in Memphis (MEM), Louisville (SDF), Indianapolis (IDN), and Ontario (ONT) are the major hubs with both high centrality values and air cargo accessibility; and (4) the FEPS network presents a unique hub-and-spoke structure compared with the passenger counterpart.

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