เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Generalized Blockmodeling× | Core-Periphery Analysis× | |
|---|---|---|
| สาขาวิชา | Sociology | Sociology |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2005 | 2000 |
| ผู้ริเริ่ม≠ | Patrick Doreian, Vladimir Batagelj & Anuška Ferligoj | Stephen Borgatti & Martin Everett |
| ประเภท≠ | Direct optimization partition of a network into positions with typed blocks | Network partition into a dense core and a sparse periphery |
| แหล่งต้นตำรับ≠ | Doreian, P., Batagelj, V., & Ferligoj, A. (2005). Generalized Blockmodeling. Cambridge University Press. ISBN: 978-0-521-84085-9 | Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. DOI ↗ |
| ชื่อเรียกอื่น | generalized blockmodel, direct blockmodeling, pre-specified blockmodeling, Doreian-Batagelj-Ferligoj blockmodeling | core/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis |
| ที่เกี่ยวข้อง | 5 | 5 |
| สรุป≠ | Generalized blockmodeling, developed by Doreian, Batagelj, and Ferligoj, partitions the actors of a network into positions and simultaneously characterizes the ties between positions as one of several allowed block types — null, complete, regular, dominant, and others. Rather than the indirect, two-step approach of computing equivalences and then clustering, it directly searches for the partition that minimizes the inconsistency between the observed network and an idealized block structure, optionally one the analyst pre-specifies from theory. | Core/periphery analysis partitions a network into a densely interconnected core of actors and a sparse periphery whose members connect to the core but not to one another. Formalized by Borgatti and Everett, the method fits the observed adjacency matrix to an idealized block pattern — a fully connected core block, an empty periphery block, and core–periphery blocks of intermediate density — to test whether and how strongly a network exhibits this canonical mesoscale structure. |
| ScholarGateชุดข้อมูล ↗ |
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