The Dominant Nodes Index in Shortest Paths (DNISP) as A Local Measure of Source Looking for the Target in Complex Networks

Dublin Core

Title

The Dominant Nodes Index in Shortest Paths (DNISP) as A Local Measure of Source Looking for the Target in Complex Networks

Subject

Communication
Shortest Paths
Information Diffusion
Centralities
Neighbour Nodes

Description

When there are multiple alternate shortest paths between any two nodes in a complex network, there is a need to know details about the content of the paths and the dominance of the nodes within it, this need comes to maximize, control and speed of the information diffusion. This paper discusses the creation of a new special measure as a local scale for any X node in the network. This measure will give each neighbour of the node X a domination value to access the rest of the network, in other words any nodes included in the shortest path (X,Y) will be given a control value, taking into account the existence of more than one shortest path between (X,Y). Such a measure is called a DNISP, which stands for Dominant Nodes Index in Shortest Paths. The X-node needs to examine all shortest paths that connect it with any other nodes across the ones that are directly associated with it. This measure provides an insight into how information flows between nodes according to dominant values with each node.

Creator

Hasan, Hussein L.
Albermany, Salah A.

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 97-108
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2020-11-24

Rights

Copyright (c) 2020 Hussein L. Hasan, SALAH A. ALBERMANY

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Hussein Hasan L. and Salah Albermany A., The Dominant Nodes Index in Shortest Paths (DNISP) as A Local Measure of Source Looking for the Target in Complex Networks, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 8, 2024, https://igi.indrastra.com/items/show/1752

Social Bookmarking