เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์เครือข่ายอัตตา× | แบบจำลองการแพร่กระจายในเครือข่าย× | |
|---|---|---|
| สาขาวิชา | การวิเคราะห์เครือข่าย | การวิเคราะห์เครือข่าย |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1992 (Burt); foundational measurement formalised by Marsden 2002 | 1927 (epidemiological compartmental); 2003 (social influence cascade) |
| ผู้ริเริ่ม≠ | Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures) | Kermack & McKendrick (SIR/SIS, 1927); Kempe, Kleinberg & Tardos (Independent Cascade, 2003) |
| ประเภท≠ | Descriptive / relational network analysis | Stochastic / deterministic simulation on graphs |
| แหล่งต้นตำรับ≠ | Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714 | Kermack, W.O. & McKendrick, A.G. (1927). A Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Society of London. Series A, 115(772), 700-721. DOI ↗ |
| ชื่อเรียกอื่น≠ | personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis) | epidemic spreading models, compartmental models, influence propagation models, Ağ Yayılım Modelleri (SIR, SIS, Independent Cascade) |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | Ego network analysis examines the personal network of a focal individual — the ego — by mapping their direct contacts (alters) and the ties those contacts share with one another. Formalised through Ronald Burt's structural holes framework (1992) and Marsden's egocentric measurement approach (2002), the method produces ego-level indicators such as network size, density, constraint, and brokerage role that reveal how each individual's social position shapes their access to information, resources, and influence. | Network diffusion models are a family of compartmental and probabilistic frameworks that simulate how information, disease, or innovation spreads across a connected system. Rooted in the mathematical epidemiology of Kermack and McKendrick (1927), the SIR and SIS models partition nodes into states and track transitions driven by contact rates and recovery probabilities. The Independent Cascade and Linear Threshold models, formalised by Kempe, Kleinberg, and Tardos (2003), extend this logic to social influence, modelling how activation propagates through a network one neighbour at a time. |
| ScholarGateชุดข้อมูล ↗ |
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