A Transition-Oriented Approach to Optimal Matching

@article{Biemann2011ATA,
  title={A Transition-Oriented Approach to Optimal Matching},
  author={Torsten Biemann},
  journal={Sociological Methodology},
  year={2011},
  volume={41},
  pages={195 - 221}
}
  • Torsten Biemann
  • Published 1 August 2011
  • Computer Science
  • Sociological Methodology
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to study protein and DNA sequences and was later transferred to the social sciences where it was applied accordingly. However, there is an ongoing debate on the adequacy of its use in the social sciences, as a superficial transfer might not respond to the significant differences between typical sequences in biological and social settings. In this paper, I elaborate on these differences and introduce… Expand
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References

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Is Optimal Matching Suboptimal?
TLDR
The author identifies a flaw in OM ‘‘indel costs’’ and proposes a solution to this flaw, and conducts an empirical test of traditional OM, the alternative localized OM, and sequence comparison. Expand
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
Class careers as sequences : An optimal matching analysis of work-life histories
The authors apply optimal matching techniques to class careers from age 15 to age 35 for two moderately large samples, as a means of exploring the utility of this sequence-oriented approach for theExpand
Biological sequence analysis
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This talk will review a little over a decade's research on applying certain stochastic models to biological sequence analysis, and introduce the motif models in stages, beginning from very simple, non-stochastic versions, progressively becoming more complex, until they reach modern profile HMMs for motifs. Expand
Beyond Transitions: Applying Optimal Matching Analysis to Life Course Research
TLDR
An analytic strategy is introduced that allows assessing the classification’s internal validity and produced a classification with better fit than straightforward CA, suggesting passages into adulthood have become more diverse since the 1970s. Expand
Optimal Matching Methods for Historical Sequences
common script is standard historical and sociological fare. In the passage from which this quote is drawn, Rude describes a script proceeding from general grievances to triggering events and on to aExpand
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
Sequence Analysis and Optimal Matching Methods in Sociology
The authors review all known studies applying optimal matching or alignment (OM) techniques to social science sequence data. Issues of data, coding, temporality, cost setting/algorithm design, andExpand
Time Warps, String Edits, and Macromolecules
TLDR
This paper presents an anthology of algorithms and concepts for sequence comparison, an overview of sequence comparison Joseph B. Kruskal and David Sankoff, and some recent results on the complexity of common-subsequence problems. Expand
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