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| Blockmodeling× | Social Network Analysis× | |
|---|---|---|
| Field≠ | Sociology | Network analysis |
| Family≠ | Process / pipeline | Machine learning |
| Year of origin≠ | 1976 | 1934 (sociometry); 1994 (modern formalization) |
| Originator≠ | Harrison White, Scott Boorman & Ronald Breiger | Moreno, J.L.; formalized by Wasserman & Faust |
| Type≠ | Network partitioning into positions and a reduced role structure | Structural/relational analysis framework |
| Seminal source≠ | 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. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Aliases | block modeling, blockmodel analysis, generalized blockmodeling, CONCOR | SNA, network analysis, sociometric analysis, relational analysis |
| Related≠ | 4 | 5 |
| Summary≠ | 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. | 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. |
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