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Modeling a Human Family Network.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling a Human Family Network./
Author:	Flores, Rebecca Jo.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	53 p.
Notes:	Source: Masters Abstracts International, Volume: 83-09.
Contained By:	Masters Abstracts International83-09.
Subject:	Porous materials. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29003722
ISBN:	9798209785392

Modeling a Human Family Network.
Flores, Rebecca Jo.

Modeling a Human Family Network. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 53 p.

Source: Masters Abstracts International, Volume: 83-09.

Thesis (M.Sc.)--Brigham Young University, 2021.

This item must not be sold to any third party vendors.

We propose a model that generates a family network based on real-world family network data. We use this model to study the extent to which distances to union and the number of children characterize family networks. To determine how accurate our model is we use persistent homology to identify and compare the structure of our modeled family networks to real-world family networks. To accomplish this, we introduce the notion of a network's persistence curve, which encodes the network's set of persistence intervals. Using the bottleneck distance allows us to measure the difference in the homological structure between any pair of networks. We also study how the distribution of distance to union and the distribution of children build family networks. What we find is that these two features of distance to union and number of children allow us to fairly accurately recreate family networks at least at the level of their persistent homology.

ISBN: 9798209785392Subjects--Topical Terms:

719049
Porous materials.

Modeling a Human Family Network.
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245 1 0 $a Modeling a Human Family Network.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 53 p.
500 $a Source: Masters Abstracts International, Volume: 83-09.
500 $a Advisor: Webb, Benjamin;Evans, Emily;Kempton, Mark.
502 $a Thesis (M.Sc.)--Brigham Young University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a We propose a model that generates a family network based on real-world family network data. We use this model to study the extent to which distances to union and the number of children characterize family networks. To determine how accurate our model is we use persistent homology to identify and compare the structure of our modeled family networks to real-world family networks. To accomplish this, we introduce the notion of a network's persistence curve, which encodes the network's set of persistence intervals. Using the bottleneck distance allows us to measure the difference in the homological structure between any pair of networks. We also study how the distribution of distance to union and the distribution of children build family networks. What we find is that these two features of distance to union and number of children allow us to fairly accurately recreate family networks at least at the level of their persistent homology.
590 $a School code: 0022.
650 4 $a Porous materials. $3 719049
650 4 $a Parents & parenting. $3 3562799
650 4 $a Families & family life. $3 3422406
650 4 $a Children & youth. $3 3541389
650 4 $a Dormitories. $3 3598377
650 4 $a Couples. $3 563740
650 4 $a Probability distribution. $3 3562293
650 4 $a Individual & family studies. $3 2122770
650 4 $a Mathematics. $3 515831
650 4 $a Statistics. $3 517247
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710 2 $a Brigham Young University. $3 1017451
773 0 $t Masters Abstracts International $g 83-09.
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