How Much Does It Cost?: Optimization of Costs in Sequence Analysis of Social Science Data  

Oleh:

Gauthier, Jacques-Antoine ; Widmer, Eric D. ; Bucher, Philipp ; Notredame, Cedric

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 38 no. 01 (Aug. 2009), page 197-231.
Topik: Sequence Analysis; Optimal Matching; Trajectories; Empirical Cost Optimization
Fulltext: SMR vol.38 no.1 p.197 aug 2009_win.pdf (492.97KB)

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

One major methodological problem in analysis of sequence date is the determination of costs from which distances between sequences are derived. Although this problem is currently not optimally dealt with in the social sciences, it has some similarity with problems that have been solved in bioinformatics of three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost scheme associated with other research strategies. The proposed method performs well compared with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification problem of cost schemes.

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