A Decorated Parallel Coordinate Plot for Categorical Longitudinal Data

Bürgin, Reto; Ritschard, Gilbert

doi:10.1080/00031305.2014.887591

Cited by 17 publications

(12 citation statements)

References 6 publications

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“…Visualization aids in the comparison of the larger systems of action that characterize different groups. One conventional approach is to present a sequence index plot (e.g., Brzinsky-Fay et al 2006;Gabadinho et al 2011) or, more germane to the notion of linking elements across time points, parallel coordinate plots (Bürgin and Ritschard 2014). For recent developments in the visualization of sequences, see e.g.…”

Section: Describing Sequence-network Structurementioning

confidence: 99%

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Network Analysis of Sequence Structures

Cornwell

2018

Life Course Research and Social Policies

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Many social sequences can be analyzed as independent linear chains of events. For example, a given firm's trajectory of growth can be analyzed as a set of developmental stages that may be similar to, but not connected to, other firms' experiences. A common goal in recent analyses of such phenomena is to describe multiple chains and compare them to each other, then classify them or describe their degree of dissimilarity (e.g., see Aisenbrey and Fasang 2010; Piccarreta 2017; Studer et al. 2011). Expanding on the interest of scholars in the relational nature of social phenomena, some social scientists (e.g. Bearman et al. 1999; Bearman and Stovel 2000; Bison 2014; Cornwell 2015) have begun to explore sequences in terms of sets of intersecting events that constitute a larger network of pathways, in which multiple sequence chains are inextricably entwined and not considered as separate. These larger structures of intersecting sequences can be called "sequencenetworks." See also Hamberger (2018) in this bundle. Researchers who study sequence-networks are often interested in characterizing the overall landscape of interconnectedness and intersection-considering these structures as whole standalone entities, opportunity structures (Merton 1996), or social systems (Parsons 1951). Visually speaking, this involves seeing sequences as a vast, integrated web which, in two-dimensional space, resembles a roadmap. The ordered nature of the phenomena that make up these structures naturally invites the use of existing sequence-analytic tools such as discrepancy analysis (Studer

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Section: Describing Sequence-network Structurementioning

confidence: 99%

“…et al 2011) and parallel coordinates plot (Bürgin and Ritschard 2014) to help describe them. This has also prompted more focused investigation of the structure of whole sequence-networks, as well as the role that particular elements within those structures play in tying those networks together.…”

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confidence: 99%

Network Analysis of Sequence Structures

Cornwell

2018

Life Course Research and Social Policies

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“…As many readers may not be familiar with parallel coordinate plots (for short: PC plots), we first spend a few lines on them (see also Bürgin and Ritschard 2014;Bürgin, Ritschard, and Rousseaux 2012;Inselberg 2009).…”

Section: Cluster Visualizationmentioning

confidence: 99%

Spell Sequences, State Proximities, and Distance Metrics

Elzinga¹,

Studer

2014

Sociological Methods & Research

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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 intended. Furthermore, we use family formation data from the Swiss Household Panel to compare a few variants of the new metric to OM. The new metrics have been implemented in the freely available TraMineR-package.

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“…The search and plot of representative sequences by Gabadinho and Ritschard (2013) and the relative frequency sequence plot of Fasang and Liao (2014) offer solutions to this challenge. The decorated parallel coordinate plot (Bürgin and Ritschard 2014) focuses on sequencing within trajectories and is useful for identifying the most typical sequencing patterns while rendering the diversity of the entire set of observed trajectories at the same time.…”

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confidence: 99%