UNIGE document Scientific Article
previous document  unige:126772  next document
add to browser collection
Title

Normalization of distance and similarity in sequence analysis

Authors
Elzinga, Cees H.
Published in Sociological Methods & Research. 2019, vol. 48, no. 4, p. 877-904
Abstract We explore the relations between the notion of distance and a feature set–based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as “direction.” Furthermore, we show how proper normalization leads to distances that can be directly interpreted as dissimilarity: Closeness in normalized space implies and is implied by similarity of the same objects, while remoteness implies and is implied by dissimilarity. Finally, we show how, in research into destandardization of the life course, properly normalizing may drastically and unequivocally change our interpretation of intercohortal distances.
Keywords DistanceSimilarityNormalizationSequence analysis
Identifiers
Full text
Structures
Research group Centre LIVES
Citation
(ISO format)
ELZINGA, Cees H., STUDER, Matthias. Normalization of distance and similarity in sequence analysis. In: Sociological Methods & Research, 2019, vol. 48, n° 4, p. 877-904. doi: 10.1177/0049124119867849 https://archive-ouverte.unige.ch/unige:126772

109 hits

1 download

Update

Deposited on : 2019-11-21

Export document
Format :
Citation style :