Weighted networks: the issue of dichotomization / R. Baggio

Уровень набора: International Journal of Tourism SciencesОсновной Автор-лицо: Baggio, R., Italian expert, philosopher, Professor of Tomsk Polytechnic University, candidate of philosophical Sciences, 1951-, RodolfoКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Школа базовой инженерной подготовки, Отделение социально-гуманитарных наукЯзык: английский.Страна: .Резюме или реферат: 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..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | network analysis | weighted networks | dichotomization | сетевой анализ Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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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.

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