Claims

Transitivity predicts the initiation of new potential collaborations at scientific events

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Selecting someone who is a collaboration partner of one of the researcher's previous collaboration partners was more likely than selecting someone without such a previous relation. → Eberle 2021

Evidence

Eberle 2021

Eberle, J., Stegmann, K., Barrat, A., Fischer, F., & Lund, K. (2021). Initiating scientific collaborations across career levels and disciplines – a network analysis on behavioral data. Intern. J. Comput.-Support. Collab. Learn. https://doi.org/10.1007/s11412-021-09345-7

q2 · i? · associational · r2

Meta-analysis across k = 12 workshops of RSiena transitivity (transTrip) effects; the article reports "the mean effect size is 0.264 (SE = 0.040; p < .001; k = 12)" and a 1.302 times higher likelihood of selecting a partner-of-a-partner.

"For transitivity, the mean effect size is 0.264 (SE = 0.040; p < .001; k = 12)."

Discussion

Page metadata
Field Value
type claim
id transitivity-predicts-new-collaboration-initiation
title Transitivity predicts the initiation of new potential collaborations at scientific events
description Transitivity predicts the initiation of new potential collaborations at scientific events
status review
evidence_strength weak
newest_evidence 2021
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — eberle-2021

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