Identification of influential nodes in network of networks

TL;DR

This paper introduces a novel evidence theory-based method to identify influential nodes in networks of networks, effectively combining various relationship types to improve detection accuracy.

Contribution

It proposes a new approach that fuses multiple relationship types to better identify influential nodes in interdependent networks.

Findings

Method effectively fuses different relationship types

Identifies influential nodes with high accuracy

Proves significance through experimental results

Abstract

The network of networks(NON) research is focused on studying the properties of n interdependent networks which is ubiquitous in the real world. Identifying the influential nodes in the network of networks is theoretical and practical significance. However, it is hard to describe the structure property of the NON based on traditional methods. In this paper, a new method is proposed to identify the influential nodes in the network of networks base on the evidence theory. The proposed method can fuse different kinds of relationship between the network components to constructed a comprehensive similarity network. The nodes which have a big value of similarity are the influential nodes in the NON. The experiment results illustrate that the proposed method is reasonable and significant