Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-vsgnj Total loading time: 0 Render date: 2024-07-21T04:14:37.948Z Has data issue: false hasContentIssue false

12 - Applications of the Minimum Spanning Tree Problem to Network Analysis

Published online by Cambridge University Press:  05 November 2011

Per Hage
Affiliation:
University of Utah
Frank Harary
Affiliation:
University of Arizona
Thomas Schweizer
Affiliation:
Universität zu Köln
Douglas R. White
Affiliation:
University of California, Irvine
Get access

Summary

From a mathematical perspective many problems in anthropology concerned with the analysis of structures, patterns, and configurations are combinatorial in nature. There are three types of combinatorial problems:

  1. The existence problem asks, “Is there a structure of a certain type?”

  2. The counting problem asks, “How many such structures are there?”

  3. The optimization problem asks, “Which is the best structure according to some criterion?” (Roberts 1984).

The minimum spanning tree problem (MSTP) is an optimization problem, well known in many fields; its history is detailed in Graham and Hell (1985). The problem has applications to the design of all kinds of networks, including communication, computer, transportation, and other flow networks. It also has applications to problems of network reliability and classification, among many others. Our purpose here is to describe some applications of the MSTP to anthropology – in particular to problems of size, clustering, and simulation in networks of various kinds. We proceed by presenting in a unified format the three standard MST algorithms of Kruskal (1956), Prim (1957), and Boruvka (1926a,b), describing the advantages and some of the applications of each one.

We first illustrate the MSTP intuitively, as follows. A large corporation with offices in many cities, v1, …, vn, wishes to determine the monthly telephone charge. All the distances d(vi, vj) are known and are distinct.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1998

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×