Topological Centrality and Its Applications

TL;DR

This paper introduces topological centrality, a new measure for analyzing network structures, and demonstrates its effectiveness in community detection and backbone network construction through experiments.

Contribution

It proposes a novel topological centrality measure and an approach to compute it, enhancing network analysis beyond traditional centrality metrics.

Findings

Effective in community detection

Useful for backbone network construction

Validated through experiments on research networks

Abstract

Recent development of network structure analysis shows that it plays an important role in characterizing complex system of many branches of sciences. Different from previous network centrality measures, this paper proposes the notion of topological centrality (TC) reflecting the topological positions of nodes and edges in general networks, and proposes an approach to calculating the topological centrality. The proposed topological centrality is then used to discover communities and build the backbone network. Experiments and applications on research network show the significance of the proposed approach.