Visualizing Sequences in the Social Sciences

@article{Fasang2014VisualizingSI,
  title={Visualizing Sequences in the Social Sciences},
  author={Anette Eva Fasang and Tim Futing Liao},
  journal={Sociological Methods \& Research},
  year={2014},
  volume={43},
  pages={643 - 676}
}
  • A. Fasang, T. Liao
  • Published 1 November 2014
  • Computer Science
  • Sociological Methods & Research
Visualization is a potentially powerful tool for exploration and complexity reduction of categorical sequence data. This article discusses currently available sequence visualization against established criteria for graphical excellence in the visual display of quantitative information. Existing sequence graphs fall into two groups: They either represent categorical sequences or summarize them. The authors propose relative frequency sequence plots as an informative way of graphing sequence data… Expand
Graphical Representation of Transitions and Sequences
TLDR
The algorithmic approach of sequence analysis has the ability to handle the complexity of social processes empirically and the problem of graphical representation persists because the use of categorical time series involving many individuals requires multidimensional visualisation, but the general form of (printed) scientific publications is still black and white. Expand
Network Analysis of Sequence Structures
TLDR
This chapter identifies several useful network techniques, shows how they correspond to sequence-related concerns, and describes how to compare multiple sequence-network structures to each other. Expand
Visualization tools in the seqHMM package
Visualization is a powerful tool throughout the analysis process from the first glimpses into the data to exploration and finally to presentation of the results. This vignette is supplementaryExpand
Some Methods for the Analysis of Event Sequence Data from Multiple Respondents
TLDR
It is argued that set theory provides a way of establishing the relations between sequences that has a natural application to the case in which the sequences are orderings of a set of events, all compatible with an underlying partial order shared by multiple respondents. Expand
Sequence analysis as a tool for investigating call record data
TLDR
A novel approach is to use sequence analysis within interviewers, which allows the identification of unusual interviewer calling behaviours, and may provide guidance on interviewer performance, and is introduced to inform survey management and survey monitoring. Expand
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 ofExpand
Using Sequence Analysis to Quantify How Strongly Life Courses Are Linked
Dyadic or, more generally, polyadic life course sequences can be more associated within dyads or polyads than between randomly assigned dyadic/polyadic member sequences, a phenomenon reflecting theExpand
Investigating call record data using sequence analysis to inform adaptive survey designs
ABSTRACT Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradataExpand
Comparing Groups of Life-Course Sequences Using the Bayesian Information Criterion and the Likelihood-Ratio Test
How can we statistically assess differences in groups of life-course trajectories? The authors address a long-standing inadequacy of social sequence analysis by proposing an adaption of the BayesianExpand
Order or chaos? Understanding career mobility using sequence analysis and information-theoretic methods
We examine the careers of a nationally representative US cohort of young adults using sequence analysis and information-theoretic techniques to describe these careers’ structure and how thisExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 75 REFERENCES
Graphical and Smoothing Techniques for Sequence Analysis
TLDR
The state of the art is described and new plots are introduced which improve the graphical display of sequences unveiling their most salient features, based upon the application of smoothing techniques. Expand
Extracting Knowledge from Life Courses: Clustering and Visualization
TLDR
This article presents the implementation of the optimal matching algorithm for evaluating the distance between two sequences and its use for generating a distance matrix for the whole sequence data set, and presents three kinds of plots for visualizing the characteristics of the obtained clusters. Expand
Exploring sequences: a graphical tool based on multi-dimensional scaling
TLDR
A new tool for the graphical exploratory analysis of sequences is introduced and how these plots can be used to gain insights about the main features of sequences and about the relationships between sequences and external information is described. Expand
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. Expand
The Perception of Statistical Graphs
TLDR
Several empirical studies designed to explore the suitability of various graphs for a variety of purposes are reviewed, and the relevant theoretical psychological literature is discussed. Expand
Visualizing Social Networks
TLDR
The historian Alfred Crosby (1997) has proposed that visualization is one of only two factors that are responsible for the explosive development of all of modern science. 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
A framework for analysing social sequences
TLDR
A more general framework for inference fromitudinal categorical data is proposed which acknowledges not only the analytic approach but also hypothesis, sequences, categorisation and representation, which is essential to the social science treatment of sequences. Expand
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
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
...
1
2
3
4
5
...