Modeling and analysis knowledge transmission process in complex networks by considering internalization mechanism

2021 ◽  
Vol 143 ◽  
pp. 110593
Author(s):  
Shi-Gen Liao ◽  
Shu-Ping Yi
Keyword(s):  
Complex Networks ◽  
Knowledge Transmission ◽  
Modeling And Analysis ◽  
Transmission Process ◽  
Internalization Mechanism

Review mechanism promotes knowledge transmission in complex networks

2019 ◽  
Vol 340 ◽  
pp. 113-125 ◽  
Author(s):  
Haiying Wang ◽  
Jun Wang ◽  
Michael Small ◽  
Jack Murdoch Moore
Keyword(s):  
Complex Networks ◽  
Knowledge Transmission ◽  
Review Mechanism

scholarly journals A Potential Information Capacity Index for Link Prediction of Complex Networks Based on the Cannikin Law

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 863 ◽  
Author(s):  
Xing Li ◽  
Shuxin Liu ◽  
Hongchang Chen ◽  
Kai Wang
Keyword(s):  
Complex Networks ◽  
Information Transmission ◽  
Link Prediction ◽  
Information Capacity ◽  
Prediction Methods ◽  
Transmission Process ◽  
Capacity Index ◽  
Definition Of ◽  
Definition Of Information ◽  
Transmission Capability

Recently, a number of similarity-based methods have been proposed for link prediction of complex networks. Among these indices, the resource-allocation-based prediction methods perform very well considering the amount of resources in the information transmission process between nodes. However, they ignore the information channels and their information capacity in information transmission process between two endpoints. Motivated by the Cannikin Law, the definition of information capacity is proposed to quantify the information transmission capability between any two nodes. Then, based on the information capacity, a potential information capacity (PIC) index is proposed for link prediction. Empirical study on 15 datasets has shown that the PIC index we proposed can achieve a good performance, compared with eight mainstream baselines.

MODELING THE DYNAMICS OF COMPLEX INTERACTION SYSTEMS: FROM MORPHOGENESIS TO CONTROL

2012 ◽  
Vol 22 (02) ◽  
pp. 1250025 ◽  
Author(s):  
N. CORSON ◽  
M. A. AZIZ-ALAOUI ◽  
R. GHNEMAT ◽  
S. BALEV ◽  
C. BERTELLE
Keyword(s):  
Neural Networks ◽  
Life Cycle ◽  
Complex Systems ◽  
Complex Networks ◽  
Complex Network ◽  
Complex Interaction ◽  
Modeling And Analysis ◽  
Urban Dynamics ◽  
System Life ◽  
Structural Aspects

The aim of this paper is to contribute to the modeling and analysis of complex systems, taking into account the nature of complexity at different stages of the system life-cycle: from its genesis to its evolution. Therefore, some structural aspects of the complexity dynamics are highlighted, leading (i) to implement the morphogenesis of emergent complex network structures, and (ii) to control some synchronization phenomena within complex networks. Specific applications are proposed to illustrate these two aspects, in urban dynamics and in neural networks.

Modeling and analysis of cascading failure in directed complex networks

2014 ◽  
Vol 65 ◽  
pp. 1-9 ◽  
Author(s):  
Xinli Fang ◽  
Qiang Yang ◽  
Wenjun Yan
Keyword(s):  
Complex Networks ◽  
Cascading Failure ◽  
Modeling And Analysis
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