Centrality in random trees

dc.contributor.advisorWagner, Stephanen_ZA
dc.contributor.authorDurant, Kevinen_ZA
dc.contributor.otherStellenbosch University. Faculty of Science. Dept. of Mathematical Sciences.en_ZA
dc.date.accessioned2017-11-02T19:28:26Z
dc.date.accessioned2017-12-11T11:04:40Z
dc.date.available2017-11-02T19:28:26Z
dc.date.available2017-12-11T11:04:40Z
dc.date.issued2017-12
dc.descriptionThesis (PhD)--Stellenbosch University, 2017en_ZA
dc.description.abstractENGLISH ABSTRACT : We consider two notions of centrality—namely, the betweenness centrality of a node and whether or not it is a centroid—in families of simply generated and increasing trees. Both of these concepts are defined in terms of paths within a tree: the betweenness centrality of a node v is the sum, over pairs of nodes, of the proportions of shortest paths that pass through v; and v is a centroid (there can be at most two) if it minimises the sum of the distances to the other nodes in the tree. We find that betweenness centrality in a large, random simply generated tree is generally linear in the size n of the tree, and that due to the tall, thin nature of simply generated trees, the probability of a random node having quadratic-order betweenness centrality decreases as n increases. This leads to a kth moment of order n2k−(1/2) for the betweenness centrality of a root node, even though a limiting distribution arises upon linearly rescaling the betweenness centrality. The class of labelled subcritical graphs, which are tree-like in structure, behave similarly. Betweenness centrality in a random increasing tree is also usually linear, except for nodes near to the root of the tree, which typically have centralities of order n2. The kth moment of the betweenness centrality of any node with a fixed label is thus of order n2k, but once again the distribution of the betweenness centrality of a random node converges to a limit when scaled by 1/n. To complement known results involving centroid nodes in simply generated trees, we also derive limiting distributions, along with limits of moments, for the depth, label, and subtree size of the centroid nearest to the root in an increasing tree. The first two of these distributions are concentrated around the root, while the latter is a combination of a point measure at 1 and a decreasing density on [1/2, 1). In addition, we show that the distributions of the maximum betweenness centrality in simply generated and increasing trees converge, upon suitable rescalings, to limiting distributions, and that the probability of the centroid attaining maximal betweenness centrality tends in both cases to a limiting constant.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING : Ons beskou twee konsepte van sentraliteit—naamlik, die tussensentraliteit van ’n punt en of dit ’n sentroïed is of nie—in families van eenvoudig gegenereerde en toenemende bome. Albei hierdie konsepte word gedefinieer in terme van paaie binne ’n boom: die tussensentraliteit van ’n punt v is die som, oor pare punte, van die verhouding van kortste paaie wat deur v beweeg; en v is ’n sentroïed indien dit die som van die afstande tot ander punte in die boom minimeer. Ons vind dat tussensentraliteit in ’n groot, lukrake eenvoudig gegenereerde boom is oor die algemeen lineêr in verhouding tot die grootte n van die boom, en as gevolg van die lang, dun aard van eenvoudig gegenereerde bome, sal die waarskynlikheid dat ’n ewekansige punt kwadratiese-orde tussensentraliteit sal hê verminder soos wat n vermeerder word. Dit lei tot ’n kde moment van orde n2k−(1/2), alhoewel daar ’n limietverdeling ontstaan sodra die tussensentraliteit lineêr herskaal word. Tussensentraliteit in ’n lukrake toenemende boom is ook gewoonlik lineêr, behalwe vir punte naby aan die wortel van die boom, wat tipies sentraliteite het van orde n2. Die kde moment van die tussensentraliteit van enige punt met ’n vaste kode is dus van orde n2k, maar weereens sal die verspreiding van die tussensentraliteit van ’n ewekansige punt konvergeer tot ’n limiet wanneer daar geskaal word met 1/n. Om by bekende resultate wat sentroïed punte in eenvoudig gegenereerde bome insluit aan te vul, lei ons ook limietverdelings af, saam met limiete van momente, vir die diepte, kode, en subboomgrootte van die sentroïed naaste aan die wortel in ’n toenemende boom. Die eerste twee van hierdie verdelings is gekonsentreer rondom die wortel, terwyl die laasgenoemde is ’n kombinasie van ’n puntmaat by 1 en ’n dalende digtheid op [1/2, 1). Daarbenewens wys ons dat die verdelings van die maksimum tussensentraliteit in eenvoudig gegenereerde en toenemende bome konvergeer, op geskikte skalerings, na limietverdelings, en die waarskynlikheid dat die sentroïed ook ’n maksimale tussensentraliteit bereik neig in albei gevalle tot limietkonstantes.af_ZA
dc.format.extentvi, 69 pages : illustrationsen_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/102861
dc.language.isoen_ZAen_ZA
dc.publisherStellenbosch : Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subjectAnalytic combinatoricsen_ZA
dc.subjectBetweenness centralityen_ZA
dc.subjectSimply generated treesen_ZA
dc.subjectIncreasing treesen_ZA
dc.subjectCentroidsen_ZA
dc.subjectRandom treesen_ZA
dc.subjectUCTDen_ZA
dc.titleCentrality in random treesen_ZA
dc.typeThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
durant_centrality_2017.pdf
Size:
1.47 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: