Social Sequence Analysis
Methods and Applications
Bibliographic Data
| ID | 2244292 |
|---|---|
| Authors | Anna Rybińska (0000-0002-6112-4256, University of North Carolina at Chapel Hill, corresponding author) |
| Year | 2017 |
| Volume | 96 |
| Issue | 1 |
| Pages | e6-e6 |
| Publication date | 2017-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Social Forces (JOURNAL) |
| Journal identifiers | ISSN: 0037-7732 • E-ISSN: 1534-7605 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/sf/sox026 |
| OpenAlex | W2605265201 |
| Language | EN |
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 velocity | historical |
|---|---|
| Highly cited | No |