A Semi-Automated Approach Based on Network Analysis to Suggest New Collaborations and Foster Multisite Clinical Trials

Several research institutions nowadays collaboratively conduct many scientific projects. Within a national Italian initiative on robotic rehabilitation, this study aims to develop new collaborations that can support the project's missions. Bibliographic information from previous publications realized by the centers that are part of the initiative allowed us to model existing partnerships among research institutions as a network of collaboration. We then designed and implemented an algorithm able to suggest new collaborations among the institutions based on the bibliograph-ic-based network. The results show that using previous publications to suggest new collabora-tions between research centers can be a promising way to develop new partnerships within a group of research centers. However, the number of suggestions can be significant, so criteria should be defined to prioritize the relevant suggestions according to the needs.

Authors

Institutions

Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250331
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Semi-Automated Approach Based on Network Analysis to Suggest New Collaborations and Foster Multisite Clinical Trials

Silvana Quaglini, Irene Aprile, Giovanna Nicora, Enea Parimbelli et al.
Studies in health technology and informatics
Bioinformatics and Genomic Networks
article

A Semi-Automated Approach Based on Network Analysis to Suggest New Collaborations and Foster Multisite Clinical Trials

Silvana Quaglini, Irene Aprile, Giovanna Nicora, Enea Parimbelli, Eva Brionne-Borda
article en

Abstract

Several research institutions nowadays collaboratively conduct many scientific projects. Within a national Italian initiative on robotic rehabilitation, this study aims to develop new collaborations that can support the project's missions. Bibliographic information from previous publications realized by the centers that are part of the initiative allowed us to model existing partnerships among research institutions as a network of collaboration. We then designed and implemented an algorithm able to suggest new collaborations among the institutions based on the bibliograph-ic-based network. The results show that using previous publications to suggest new collabora-tions between research centers can be a promising way to develop new partnerships within a group of research centers. However, the number of suggestions can be significant, so criteria should be defined to prioritize the relevant suggestions according to the needs.

Studies in health technology and informaticsVol. 327
University of Pavia (IT), Don Carlo Gnocchi Foundation (IT), International Flame Research Foundation (IT)
Openalex Percentile: Top 79%
Bioinformatics and Genomic Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.