An Empirical Study on the Network Model and the Online Knowledge Production Structure

2022 ◽  
pp. 599-611
Author(s):  
Quan Chen ◽  
Jiangtao Wang ◽  
Ruiqiu Ou ◽  
Sang-Bing Tsai
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Knowledge Production ◽  
Mass Production ◽  
Network Size ◽  
Software System ◽  
Production Structure ◽  
R Software ◽  
Knowledge Propagation ◽  
New Perspective

Mass production has attracted much attention as a new approach to knowledge production. The R software system is a typical product of mass production. For its unique architecture, the R software system accurately recorded the natural process of knowledge propagation and inheritance. Thus, this article established a dynamic complex network model based on the derivative relationship between R software packages, which reflects the evolution process of online knowledge production structure in R software system, and studied the process of knowledge propagation and inheritance via the dynamic complex network analysis method. These results show that the network size increases with time, reflecting the tendency of R software to accelerate the accumulation of knowledge. The network density and network cohesion decrease with the increase of scale, indicating that the knowledge structure of R software presents a trend of expansion. The unique extension structure of R software provides a rich research foundation for the propagation of knowledge; thus, the results can provide us a new perspective for knowledge discovery and technological innovation.

scholarly journals An Empirical Study on the Network Model and the Online Knowledge Production Structure

2019 ◽  
Vol 12 (4) ◽  
pp. 171-182
Author(s):  
Quan Chen ◽  
Jiangtao Wang ◽  
Ruiqiu Ou ◽  
Sang-Bing Tsai
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Knowledge Production ◽  
Mass Production ◽  
Network Size ◽  
Software System ◽  
Production Structure ◽  
R Software ◽  
Knowledge Propagation ◽  
New Perspective

Mass production has attracted much attention as a new approach to knowledge production. The R software system is a typical product of mass production. For its unique architecture, the R software system accurately recorded the natural process of knowledge propagation and inheritance. Thus, this article established a dynamic complex network model based on the derivative relationship between R software packages, which reflects the evolution process of online knowledge production structure in R software system, and studied the process of knowledge propagation and inheritance via the dynamic complex network analysis method. These results show that the network size increases with time, reflecting the tendency of R software to accelerate the accumulation of knowledge. The network density and network cohesion decrease with the increase of scale, indicating that the knowledge structure of R software presents a trend of expansion. The unique extension structure of R software provides a rich research foundation for the propagation of knowledge; thus, the results can provide us a new perspective for knowledge discovery and technological innovation.

Novel complex network model and its application in identifying critical components of power grid

2018 ◽  
Vol 512 ◽  
pp. 316-329 ◽  
Author(s):  
Chong Chen ◽  
Xuan Zhou ◽  
Zhuo Li ◽  
Zhiheng He ◽  
Zhengtian Li ◽  
...  
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Power Grid ◽  
Novel Complex ◽  
Critical Components

A Discovery Method of the Dirty Data Transmission Path Based on Complex Network

2014 ◽  
Vol 651-653 ◽  
pp. 1741-1747
Author(s):  
Xiao Lin Zhao ◽  
Gang Hao ◽  
Chang Zhen Hu ◽  
Zhi Qiang Li
Keyword(s):  
Complex Network ◽  
Data Transmission ◽  
Software System ◽  
Power Law Distribution ◽  
Scale Free ◽  
Transmission Path ◽  
Binary File ◽  
Weighted Directed Graph ◽  
Dirty Data ◽  
Discovery Method

With the increasing scale of software system, the interaction between software elements becomes more and more complex, which lead to the increased dirty data in running software system. This may reduce the system performance and cause system collapse. In this paper, we proposed a discovery method of the dirty data transmission path based on complex network. Firstly, the binary file is decompiled and the function call graph is drawn by using the source code. Then the software structure is described as a weighted directed graph based on the knowledge of complex network. In addition, the dirty data node is marked by using the power-law distribution characteristics of the scale-free network construction of complex network chart. Finally, we found the dirty data transmission path during software running process. The experimental results show the transmission path of dirty data is accurate, which confirmed the feasibility of the method.

A tree-like complex network model

2010 ◽  
Vol 389 (1) ◽  
pp. 171-178 ◽  
Author(s):  
Yuying Gu ◽  
Jitao Sun
Keyword(s):  
Complex Network ◽  
Network Model

The Research of Complex Network on Archives Blog

2011 ◽  
Vol 181-182 ◽  
pp. 14-18
Author(s):  
Yi He
Keyword(s):  
Information Sharing ◽  
Complex Network ◽  
Network Model ◽  
Degree Distribution ◽  
Small World ◽  
Scale Free ◽  
Set Up

At the background of archives blog on Internet, this paper constructs a directed complex network model, and analyzes the network characters such as degree distribution. To verify its efficiency, we collect blogs’ information and set up a complex network..From the analysis result of the simulation and demonstration network, we know that they have the same characters, which show that, the virtual society network has small-world effect and scale-free character compared with real society network. The results indicate that the establishment of archives blog is favor to spread rapidly archives information, improve information sharing efficiency and promote the development of archives technology.

scholarly journals P2P Lending Risk Contagion Analysis Based on a Complex Network Model

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qi Wei ◽  
Qiang Zhang
Keyword(s):  
Information Asymmetry ◽  
Complex Network ◽  
Network Model ◽  
Media Effects ◽  
Contagion Effect ◽  
Significant Information ◽  
P2p Lending ◽  
Indirect Risk

This paper analyzes two major channels of P2P lending risk contagion in China—direct risk contagion between platforms and indirect risk contagion with other financial organizations as the contagion medium. Based on this analysis, the current study constructs a complex network model of P2P lending risk contagion in China and performs dynamics analogue simulations in order to analyze general characteristics of direct risk contagion among China’s online P2P lending platforms. The assumed conditions are that other financial organizations act as the contagion medium, with variations in the risk contagion characteristics set under the condition of significant information asymmetry in Internet lending. It is indicated that, compared to direct risk contagion among platforms, both financial organizations acting as the contagion medium and information asymmetry magnify the effect of risk contagion. It is also found that the superposition of media effects and information asymmetry is more likely to magnify the risk contagion effect.

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