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Social Sequence Analysis

Methods and Applications

Bibliographic Data

ID2244292
AuthorsAnna Rybińska (0000-0002-6112-4256, University of North Carolina at Chapel Hill, corresponding author)
Year2017
Volume96
Issue1
Pagese6-e6
Publication date2017-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSocial Forces (JOURNAL)
Journal identifiersISSN: 0037-7732 • E-ISSN: 1534-7605
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/sf/sox026
OpenAlexW2605265201
LanguageEN

The dynamic nature of social processes has for long been at the center of social sciences. Researchers from various fields, such as sociology, economics, psychology, and political or organizational science, all investigate the sequential and ordered social phenomena using a set of similar methods and techniques described as sequence analysis. Seeing this similarity, Benjamin Cornwell set out to amass the concepts and methods of this interdisciplinary research perspective in his book Social Sequence Analysis: Methods and Applications. Social Sequence Analysis is a thorough and comprehensive introduction to the sequence analysis approach. In his book, Cornwell covers the conventional sequence analysis methods and summarizes the most recent developments related to sequence differentiation and data visualization. Social Sequence Analysis includes chapters on elementary notions and techniques of sequence analysis, detecting sequence structure and sequence comparison, as well as sections that cover new directions in social sequence analysis: network analysis and microsequence analysis. Each section is succinct and yet exhaustive, providing the reader with a cohesive overview of the topic and suggestions for further reading.

Data science · Epistemology · Linguistics · Reading (process) · Sequence (biology) · Set (abstract data type) · Similarity (geometry) · Social analysis · Social science · Sociology · Artificial Intelligence · Computer Science · Social Capital and Networks

Citation velocityhistorical
Highly citedNo

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