TY  - JOUR
AB  - Spatial proximity may facilitate scientific collaboration. We regress its impact within two German research institutions, defining collaboration strength and proximity by the number of joint publications and spatial distance between work places. The methodological focus lies on accounting for (i) the dependency structure in network data and (ii) excess zeros in the sparse target matrix. The former can be addressed by a quadratic assignment procedure (QAP), the second by a hurdle model. To offer a joint solution, we combine the methods to novel parametric and non-parametric hurdle-QAP models. The analysis reveals that proximity can facilitate collaboration, but significant effects get lost within building structures. Outcomes of this study may inform about how to target the promotion of interdisciplinary research.
AU  - Marchi, H.
AU  - Fuchs, C.
C1  - 67591
C2  - 53598
CY  - 530 Walnut Street, Ste 850, Philadelphia, Pa 19106 Usa
SP  - 100-127
TI  - Hurdle-QAP models overcome dependency and sparsity in scientific collaboration count networks.
JO  - J. Math. Socio.
VL  - 48
IS  - 1
PB  - Taylor & Francis Inc
PY  - 2024
SN  - 0022-250X
ER  -