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Sequence Comparison via Alignment and Gibbs Sampling: A Formal Analysis of the Emergence of the Modern Sociological Article

文献名称 Sequence Comparison via Alignment and Gibbs Sampling: A Formal Analysis of the Emergence of the Modern Sociological Article
文献作者 Andrew Abbott; Emily Barman
作者所在单位 University of Chicago
文献分类 已发表文献
学科一级分类 统计
学科二级分类 统计学
文献摘要 Various substantive literatures in sociology seek small regularities in sequences: turning points in the life
course, catalytic moments in organizational change, sharp turns in occupational trajectories, and the like.
Commonly these are turning points, but they may also be simple local patterns. This paper reports a method
for discovering such regularities even when they are quite faint, applying that method to rhetorical regularities
in sociological articles. The paper begins by analyzing the overall sequence structure of such articles and
then gives a basic introduction to Gibbs sampling, one member of the broader class of Markov chain Monte
Carlo (MCMC) methods. It then reports an algorithm employing Gibbs sampling to find local sequence
regularities and applies that algorithm to demonstrate the subsequence regularities present in sociological
articles. Substantively, the paper shows that the rhetorical structure of sociological articles changed from one
pattern to another in the period 1895-1965 and that certain faint but standard rhetorical subsequences
became characteristic of articles in the later period. Methodologically, it introduces a broad class of methods
that provide effective approaches to a number of previously intractable statistical questions.
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关键字 Sequence Comparison via Alignment ; Gibbs Sampling ; A Formal Analysis of the Emergence; Modern Sociological Article
发表所在刊物(或来源) Sociological Methodology, Vol. 27 (1997), 47-87.
发表时间 1997
适用研究领域
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