Complex network theory is a useful way to study many real systems. In this paper, an anti-attack model based on complex network theory is introduced. The mechanism of this model is based on dynamic compensation process and reverse percolation process in P2P networks. The main purpose of the paper is: (i) a dynamic compensation process can turn an attacked P2P network into a power-law (PL) netwo...

Uncovering the patterns of the software vulnerabilities can be helpful for the policy making to remove or reduce the effect of software vulnerabilities. In order to understand the emerging pattern in the software vulnerabilities, taking advantage of the complex network theory, this paper considers the software vulnerability market as a dynamic complex system and then proposes a heterogeneous ne...

In the present work, algorithms based on complex network theory are applied to Recommendation Systems in order to improve their quality of predictions. We show how some networks are grown under the influence of trendy forces, and how this can be used to enhance the results of a recommendation system, i.e. increase their percentage of right predictions. After defining a base algorithm, we create...

On the basis of relative theories of complex network, a high-speed passenger transportation network using Pajek software is proposed and its topological characteristics as well as network structure are analyzed. Analyzed is also its reliability under two kinds of attacks, and suggestions on its construction recommended. The research in this paper helps to complete the overall network structure ...

Supply chain network enables the enterprises to achieve the purpose of knowledge diffusion complementary. Based on the complex network theory, using the method of combining qualitative analysis and model deduction, we established a knowledge diffusion network model that view staff of supply chain as network node, discussed the mechanism of knowledge diffusion, analysed the main control paramete...