This paper proposes a method for cross-disciplinary collaboration recommendation (CDCR) to analyze cross-disciplinary collaboration patterns in scholarly big ...

An integrated model is presented based on multilayer networks that can personalize the proposing scientific collaborators and provides an approach to ...

Dive into the research topics of 'Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data'.

Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data. W. Liang, X. Zhou, S. Huang, C ...

Modeling of Cross-disciplinary Collaboration for Potential Field. Discovery and Recommendation Based on Scholarly Big Data. Wei Liang a,b. , Xiaokang Zhou c,d.

This paper discusses CollabSeer, an open system to recommend potential research collaborators for scholars and scientists. CollabSeer discovers ...

The Cross-domain Topic Learning (CTL) model is proposed, which consolidates the existing cross-domain collaborations through topic layers instead of at ...

11 Sept 2024 · Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data. Article. Dec 2017 ...

7 Dec 2023 · This study proposes an expert finding algorithm, namely Mexpert, to bridge the gap between experts using data mining techniques.

Although a single model may not be appropriate for all contexts, cross-disciplinary collaboration and open data sharing should make health research systems more ...