Using dual-network-analyser for communities detecting in dual networks.

ABSTRACT:

Background

Representations of the relationships among data using networks are widely used in several research fields such as computational biology, medical informatics and social network mining. Recently, complex networks have been introduced to better capture the insights of the modelled scenarios. Among others, dual networks (DNs) consist of mapping information as pairs of networks containing the same set of nodes but with different edges: one, called physical network, has unweighted edges, while the other, called conceptual network, has weighted edges.

Results

We focus on DNs and we propose a tool to find common subgraphs (aka communities) in DNs with particular properties. The tool, called Dual-Network-Analyser, is based on the identification of communities that induce o

SUBMITTER: Guzzi PH 

PROVIDER: S-EPMC8750846 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature