The Missing Link: The Effect of Customers on the Formation of Relationships Among Producers in the Multiplex Triads
Bibliographic record
Abstract
This paper develops a concept of a “multiplex triad,” i.e., a triplet composed of actors playing different roles and interconnected by different kinds of relationships. An example of such triad is a social structure comprising two producers connected via horizontal relationships and a customer connected to producers via vertical ties. Multiplex triads are important drivers of network evolution, but their dynamics remains poorly understood. Although conventional wisdom suggests that horizontal ties between producers are driven solely by their prior interactions, we find that vertical ties drive the formation of horizontal relationships in a multiplex triad. We also find that these triads are affected by the agency of the customers who (a) force producers into horizontal relationships with those producers that have protected the customers' interests in the past and (b) prevent closure in triads containing strong horizontal relationships because of the divergent objectives of these triads' members. By drawing attention to the existence of multiplex triads and their underlying dynamics, this paper advances a novel view on transitivity incorporating conflicting interests and agencies of actors within social systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".