Spell Sequences, State Proximities, and Distance Metrics

@article{Elzinga2015SpellSS,
  title={Spell Sequences, State Proximities, and Distance Metrics},
  author={Cees H. Elzinga and Matthias Studer},
  journal={Sociological Methods \& Research},
  year={2015},
  volume={44},
  pages={3 - 47}
}
Because optimal matching (OM) distance is not very sensitive to differences in the order of states, we introduce a subsequence-based distance measure that can be adapted to subsequence length, to subsequence duration, and to soft-matching of states. Using a simulation technique developed by Studer, we investigate the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states. The results show that the behavior of the metric is as… Expand
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References

SHOWING 1-10 OF 68 REFERENCES
Optimal Matching Analysis and Life-Course Data: The Importance of Duration
The optimal matching (OM) algorithm is widely used for sequence analysis in sociology. It has a natural interpretation for discrete-time sequences but is also widely used for life-history data, whichExpand
Measuring Resemblance in Sequence Data: An Optimal Matching Analysis of Musicians' Careers
This article introduces a method that measures resemblance between sequences using a simple metric based on the insertions, deletions, and substitutions required to transform one sequence intoExpand
The subsequence composition of a string
Words that appear as constrained subsequences in a text-string are considered as possible indicators of the host string structure, hence also as a possible means of sequence comparison andExpand
Measuring the Agreement between Sequences
The present article proposes a new method to assess distances between sequences of states, belonging to, for instance, event histories. It is based on the number of moves needed to turn one sequenceExpand
Algorithms for subsequence combinatorics
TLDR
Theorems that lead to efficient dynamic programming algorithms to count distinct subsequences in a string are presented and sequences generated by a string allowing characters to come in runs of a length that is bounded from above are presented. Expand
Analyzing and Visualizing State Sequences in R with TraMineR
This article describes the many capabilities offered by the TraMineR toolbox for categorical sequence data. It focuses more specifically on the analysis and rendering of state sequences. AddressedExpand
Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns
This article addresses the question of the effects of cost setting on the kind of temporal patterns optimal matching (OM) can uncover when applied to social science data. It is argued that theExpand
On Order Equivalences between Distance and Similarity Measures on Sequences and Trees
TLDR
It is shown that alignment-orderings by distance can be dualized by similarity, and vice-versa, and that there are categorisation and hierarchical clustering outcomes which can be achieved via similarity but not via distance. Expand
Discrepancy Analysis of State Sequences
In this article, the authors define a methodological framework for analyzing the relationship between state sequences and covariates. Inspired by the principles of analysis of variance, this approachExpand
MULTICHANNEL SEQUENCE ANALYSIS APPLIED TO SOCIAL SCIENCE DATA: multichannel sequence analysis
TLDR
This article proposes the method of multichannel sequence analysis (MCSA), which simultaneously extends the usual optimal matching analysis (OMA) to multiple life spheres and finds that MCSA offers an alternative to the sole use of ex-post sum of distance matrices by locally aligning distinct life trajectories simultaneously. Expand
...
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