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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. Addressed
WeightedCluster Library Manual A practical guide to creating typologies of trajectories in the social sciences with R
TLDR
This manual presents the WeightedCluster library and offers a step-by-step guide to creating typologies of sequences for the social sciences, and shows that these methods offer an important descriptive point of view on sequences by bringing to light recurrent patterns.
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 approach
What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures
TLDR
The study shows that there is no universally optimal distance index, and that the choice of a measure depends on which aspect the authors want to focus on, and introduces novel ways of measuring dissimilarities that overcome some flaws in existing measures.
Extracting and Rendering Representative Sequences
TLDR
The proposed heuristic for extracting the representative subset requires as main arguments a pairwise distance matrix, a representativeness criterion and a distance threshold under which two sequences are considered as redundant or, identically, in the neighborhood of each other.
Spell Sequences, State Proximities, and Distance Metrics
TLDR
This work investigates the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states, and shows that the behavior of the metric is as intended.
A comparative review of sequence dissimilarity measures
This is a comparative study of the multiple ways of measuring dissimilarities between state sequences. For sequences describing life courses, such as family life trajectories or professional careers,
Discrepancy Analysis of Complex Objects Using Dissimilarities
TLDR
A generalization of the analysis of variance (ANOVA) to assess the link of complex objects (e.g. sequences) with a given categorical variable and a new tree method for analyzing discrepancy ofcomplex objects that exploits the former test as splitting criterion are introduced.
Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event
In this article, we propose an innovative method which is a combination of Sequences Analysis and Event History Analysis. We called this method Sequence History Analysis (SHA). We start by
Sequence analysis: Where are we, where are we going?
This introductory chapter briefly describes the development of sequence analysis in social sciences from the pioneering contributions made by Andrew Abbott to date. We then discuss the future of
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