Σύγκριση μεθόδων

	Blockmodeling	Positional Analysis	Ανάλυση Κοινωνικών Δικτύων	Structural Equivalence	Triad Census
Πεδίο	Sociology	Sociology	Ανάλυση Δικτύων	Sociology	Sociology
Οικογένεια	Process / pipeline	Process / pipeline	Machine learning	Process / pipeline	Process / pipeline
Έτος προέλευσης	1976	1976	1934 (sociometry); 1994 (modern formalization)	1971	1970
Δημιουργός	Harrison White, Scott Boorman & Ronald Breiger	Harrison White, Ronald Burt, and colleagues	Moreno, J.L.; formalized by Wasserman & Faust	François Lorrain & Harrison White	Paul Holland & Samuel Leinhardt
Τύπος	Network partitioning into positions and a reduced role structure	Framework for identifying network positions and the roles among them	Structural/relational analysis framework	Equivalence relation grouping actors with identical tie patterns	Enumeration of the 16 isomorphism classes of directed triads
Θεμελιώδης πηγή	White, 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.	Burt, R. S. (1976). Positions in networks. Social Forces, 55(1), 93–122.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1	Lorrain, F., & White, H. C. (1971). Structural equivalence of individuals in social networks. The Journal of Mathematical Sociology, 1(1), 49–80.	Holland, P. W., & Leinhardt, S. (1970). A method for detecting structure in sociometric data. American Journal of Sociology, 76(3), 492–513.
Εναλλακτικές ονομασίες	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	role analysis, positional role analysis, network role and position analysis, regular equivalence analysis	SNA, network analysis, sociometric analysis, relational analysis	structural equivalence analysis, positional equivalence, Euclidean equivalence of actors, equivalence classes	triad count, triadic census, 16-type triad census, MAN triad census
Συναφείς	4	5	5	5	4
Σύνοψη	Blockmodeling 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.	Positional analysis is the network-analytic program that identifies the positions actors occupy — sets of actors equivalent in their relational patterns — and characterizes the system of roles that links those positions. Growing out of Harrison White's structuralism and Ronald Burt's operationalization in the 1970s, it treats the social structure as a small set of positions and the role relations among them, rather than as a collection of individual actors.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.	Structural equivalence identifies actors who occupy the same position in a network because they have identical ties to identical others. Defined by François Lorrain and Harrison White in 1971, it formalizes the idea that two people are interchangeable in the social structure when they relate to exactly the same set of third parties, and it provides the foundation for partitioning networks into positions and building blockmodels.	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.