Reciprocity predicts the initiation of new potential collaborations at scientific events¶

Claim · All claims
Evidence · 1 study · quant-synthesis r? · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Having indicated another workshop participant as a (possibly unreciprocated) previous collaboration partner increased the likelihood of selecting them as a new potential collaboration partner. → 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? · quant-synthesis · r?

Meta-analysis across k = 12 workshops of RSiena effect estimates for reciprocity as a network-driven selection pattern predicting creation of new potential-collaboration ties; the article reports "the mean effect size is 0.562 (SE = 0.562; p = .023, k = 12)".

"For reciprocity, the mean effect size is 0.562 (SE = 0.562; p = .023, k = 12)."

Discussion¶

Related Claims¶

• Researchers disagree substantially in their recall of previous collaborations with workshop peers
• Transitivity predicts the initiation of new potential collaborations at scientific events
• PhD students and Information Technology researchers were selected less often as new collaboration partners, and group awareness support balanced the disciplinary difference, per the editorial's report of Eberle et al. — related
• Transitivity, reciprocity and contact duration are relevant for researchers' identification of new potential collaboration partners at face-to-face events, as the editorial reports of Eberle et al. — a broader claim this one bears on
• Longer face-to-face contact during a scientific event increases the likelihood that a researcher selects the other as a new potential collaboration partner — related