Paper Info
Title
Using mixed node publication network graphs for analyzing success in interdisciplinary teams
Abstract
Large-scale research problems (e.g. health and aging, eonomics and production in high-wage countries) are typically complex, needing competencies and research input of different disciplines [1]. Hence, cooperative working in mixed teams is a common research procedure to meet multi-faceted research problems. Though, interdisciplinarity is --- socially and scientifically --- a challenge, not only in steering cooperation quality, but also in evaluating the interdisciplinary performance. In this paper we demonstrate how using mixed-node publication network graphs can be used in order to get insights into social structures of research groups. Explicating the published element of cooperation in a network graph reveals more than simple co-authorship graphs. The validity of the approach was tested on the 3-year publication outcome of an interdisciplinary research group. The approach was highly useful not only in demonstrating network properties like propinquity and homophily, but also in proposing a performance metric of interdisciplinarity. Furthermore we suggest applying the approach to a large research cluster as a method of self-management and enriching the graph with sociometric data to improve intelligibility of the graph.
Year
DOI
Venue
2012
10.1007/978-3-642-35236-2_61
AMT
Keywords
Field
DocType
research input,interdisciplinary research group,mixed node publication network,network property,multi-faceted research problem,large-scale research problem,large research cluster,common research procedure,network graph,interdisciplinary team,mixed-node publication network graph,research group
Data mining,Sociometry,Competence (human resources),Computer science,Visualization,Homophily,Performance metric,Propinquity,Social structure,Management science,Intelligibility (communication)
Conference
Citations 
PageRank 
References 
13
0.96
12
Authors
6
Name
Order
Citations
PageRank
André Calero Valdez113425.44
Anne Kathrin Schaar2699.05
Martina Ziefle31176135.05
Andreas Holzinger42886253.75
Sabina Jeschke529860.10
Christian Brecher69639.81