Abstract
Analysis from perspectives of modeling networks via the adjacency connections has been explored in multiple studies. In the physical real time domain however, the entries of adjacency do not just limit to values of zeros and ones but are far more complicated than simple binary digits depending on the strength and reliability of connections between nodes in different network scenarios. This strength and reliability of connections represents the quality indicator of edges that are a quantitative indication of successful transmission of data via links. This work approaches to model networks as representations that consider building up of connectivity matrix with reliability indices between one and zero and studies their impact on ranking of nodes. Lessons we learn in this work is it's not just connectivity and degrees of node to lead the rankings rather reliability of links is a key player which can make or break the node's rank leadership. We argue that there is a fresh need to put reliability in perspective for exploring ranking of nodes in large network settings.
Original language | English |
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Title of host publication | 2018 Progress In Electromagnetics Research Symposium, PIERS-Toyama 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1542-1549 |
Number of pages | 8 |
ISBN (Electronic) | 9784885523151 |
DOIs | |
State | Published - 31 12 2018 |
Event | 2018 Progress In Electromagnetics Research Symposium, PIERS-Toyama 2018 - Toyama, Japan Duration: 01 08 2018 → 04 08 2018 |
Publication series
Name | Progress in Electromagnetics Research Symposium |
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Volume | 2018-August |
ISSN (Print) | 1559-9450 |
ISSN (Electronic) | 1931-7360 |
Conference
Conference | 2018 Progress In Electromagnetics Research Symposium, PIERS-Toyama 2018 |
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Country/Territory | Japan |
City | Toyama |
Period | 01/08/18 → 04/08/18 |
Bibliographical note
Publisher Copyright:© 2018 The Institute of Electronics, Information and Communication Engineers (IEICE).