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Authors: Benjamin Vehmeyer and Michaela Geierhos

Affiliation: Research Institute CODE, University of the Bundeswehr Munich, Neubiberg, Germany

Keyword(s): Institutional Networks, Knowledge Discovery, Community Detection.

Abstract: Business networks are a key driver of innovation and economic growth. However, a major challenge is how to discover these network relationships in heterogeneous data sources. In this paper, we present an IT artifact that unifies different data types, including patent, research funding, and publication information, into a unified graph database. This allows a comprehensive analysis of cooperation patterns. Community detection algorithms are used to identify research clusters, while centrality measures reveal key players. Visualizations facilitate the interpretation of research results and provide a user-friendly way to display data about research communities and institutional behavior. A prototype visualization of these results provides a proof of concept for the practicality of the method. The proposed design provides a robust framework for understanding the dynamics of collaborative networks.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Vehmeyer, B. and Geierhos, M. (2025). Connection Is all You Need! Mining and Linking Disparate Data Sources for Collaboration Network Analysis. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8; ISSN 2184-4992, SciTePress, pages 210-217. DOI: 10.5220/0013255200003929

@conference{iceis25,
author={Benjamin Vehmeyer and Michaela Geierhos},
title={Connection Is all You Need! Mining and Linking Disparate Data Sources for Collaboration Network Analysis},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={210-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013255200003929},
isbn={978-989-758-749-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Connection Is all You Need! Mining and Linking Disparate Data Sources for Collaboration Network Analysis
SN - 978-989-758-749-8
IS - 2184-4992
AU - Vehmeyer, B.
AU - Geierhos, M.
PY - 2025
SP - 210
EP - 217
DO - 10.5220/0013255200003929
PB - SciTePress