ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

Blockmodeling×Triad Census×
حوزهSociologySociology
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش19761970
پدیدآورHarrison White, Scott Boorman & Ronald BreigerPaul Holland & Samuel Leinhardt
نوعNetwork partitioning into positions and a reduced role structureEnumeration of the 16 isomorphism classes of directed triads
منبع بنیادینWhite, H. C., Boorman, S. A., & Breiger, R. L. (1976). Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81(4), 730–780. DOI ↗Holland, P. W., & Leinhardt, S. (1970). A method for detecting structure in sociometric data. American Journal of Sociology, 76(3), 492–513. DOI ↗
نام‌های دیگرblock modeling, blockmodel analysis, generalized blockmodeling, CONCORtriad count, triadic census, 16-type triad census, MAN triad census
مرتبط44
خلاصهBlockmodeling is a family of methods that simplify a social network by partitioning its actors into positions — groups of actors who are equivalent in their pattern of ties — and summarizing the relations between positions as a compact image, or reduced role structure. Introduced by Harrison White, Scott Boorman, and Ronald Breiger in 1976, it shifts attention from individuals to the structural roles they occupy.The triad census counts how many of a directed network's three-actor subgroups fall into each of the 16 possible types of triad, providing a compact fingerprint of the network's local structure. Introduced by Paul Holland and Samuel Leinhardt in 1970, it is the standard way to test structural theories — balance, clustering, transitivity, ranked clusters — by comparing the observed distribution of triad types against what a random network would produce.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: Blockmodeling · Triad Census. بازیابی‌شده در 2026-06-24 از https://scholargate.app/fa/compare