Weighted networks: the issue of dichotomization

Bibliographic Details
Parent link:International Journal of Tourism Sciences
Vol. 19, iss.1.— 2019.— [P. 59-64]
Main Author: Baggio R. Rodolfo
Corporate Author: Национальный исследовательский Томский политехнический университет Школа базовой инженерной подготовки Отделение социально-гуманитарных наук
Summary:Title screen
The purpose of this methodological paper is to explore one issue in the analysis of complex networks when weights are used to value edges. Often these weights are removed by setting a threshold and considering the links existing only if their value is higher than this. This practice allows then using simpler metrics as provided by many software packages. However, many common network properties, which often lead to specific interpretations, can be highly sensitive to the assumptions and thresholds used. By discussing a case, we show the differences that arise when dichotomizing a weighted network. We conclude that while unweighted networks can provide insights into some structural properties, the operation can be unnecessary and even detrimental for studying many features and processes when valued relational data are available.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.1080/15980634.2019.1592311
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660817
Description
Summary:Title screen
The purpose of this methodological paper is to explore one issue in the analysis of complex networks when weights are used to value edges. Often these weights are removed by setting a threshold and considering the links existing only if their value is higher than this. This practice allows then using simpler metrics as provided by many software packages. However, many common network properties, which often lead to specific interpretations, can be highly sensitive to the assumptions and thresholds used. By discussing a case, we show the differences that arise when dichotomizing a weighted network. We conclude that while unweighted networks can provide insights into some structural properties, the operation can be unnecessary and even detrimental for studying many features and processes when valued relational data are available.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1080/15980634.2019.1592311