Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Matta, John"'
Publikováno v:
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 1774-1780
This paper presents a method for estimating the overall size of a hidden population using results from a respondent driven sampling (RDS) survey. We use data from the Latino MSM Community Involvement survey (LMSM-CI), an RDS dataset that contains inf
Externí odkaz:
http://arxiv.org/abs/2104.11633
Autor:
Matta, John
Because of the ubiquity of networks, both naturally-occurring and engineered, there is a great deal of interest in studying their properties. One such property of a network is its resilience. While there exists a large amount of research on edge-base
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=1566215
Akademický článek
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We are concerned with an appropriate mathematical measure of resilience in the face of targeted node attacks for arbitrary degree networks, and subsequently comparing the resilience of different scale-free network models with the proposed measure. We
Externí odkaz:
http://arxiv.org/abs/1404.0103
Autor:
Matta, John1 (AUTHOR) jmatta@siue.edu, Singh, Virender1 (AUTHOR), Auten, Trevor1 (AUTHOR), Sanjel, Prashant1 (AUTHOR)
Publikováno v:
PLoS ONE. 1/23/2023, Vol. 17 Issue 1, p1-20. 20p.
Akademický článek
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Publikováno v:
In Procedia Computer Science 2013 20:522-527
Autor:
Ercal, Gunes, Matta, John
Publikováno v:
In Procedia Computer Science 2013 20:510-515
Autor:
Abbas, Mostafa1 (AUTHOR), Matta, John2 (AUTHOR), Le, Thanh3 (AUTHOR), Bensmail, Halima1 (AUTHOR), Obafemi-Ajayi, Tayo3 (AUTHOR) TayoObafemiAjayi@missouristate.edu, Honavar, Vasant4 (AUTHOR), EL-Manzalawy, Yasser4,5 (AUTHOR) TayoObafemiAjayi@missouristate.edu
Publikováno v:
PLoS ONE. 11/22/2019, Vol. 14 Issue 11, p1-21. 21p.
Autor:
Matta, John
Publikováno v:
Dissertations.
This dissertation examines various facets of the analysis of complex networks. In the first part, we study the resilience of networks, by examining various attempts to quantify resilience. Some of the measures studied are vertex attack tolerance, int