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Computation of the Double Metric Dimension in Convex Polytopes
Author(s) -
Pan Li-ying,
Muhammad Ahmad,
Zohaib Zahid,
Sohail Zafar
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/9958969
Subject(s) - polytope , mathematics , dimension (graph theory) , metric (unit) , combinatorics , computation , node (physics) , regular polygon , convex polytope , set (abstract data type) , discrete mathematics , algorithm , convex optimization , convex set , computer science , geometry , operations management , structural engineering , engineering , economics , programming language
A source detection problem in complex networks has been studied widely. Source localization has much importance in order to model many real-world phenomena, for instance, spreading of a virus in a computer network, epidemics in human beings, and rumor spreading on the internet. A source localization problem is to identify a node in the network that gives the best description of the observed diffusion. For this purpose, we select a subset of nodes with least size such that the source can be uniquely located. This is equivalent to find the minimal doubly resolving set of a network. In this article, we have computed the double metric dimension of convex polytopes R n and Q n by describing their minimal doubly resolving sets.

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