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. Author manuscript; available in PMC: 2014 Jan 24.
Published in final edited form as: Int J Semant Web Inf Syst. 2013;9(1):45–78. doi: 10.4018/jswis.2013010103

Table 1.

A list of features, used to weight nodes in the concept network. Per feature, we highlight corresponding questions that could be tackled with this kind of visualization. Additionally, a list of author specific concept network features, used to weight nodes in author specific network visualizations, and their corresponding research questions are provided.

Feature Question addressed
Concept Network

Changes and Notes History
Number of changes and/or notes Which are the highly edited/discussed areas in the ontology?
Changes and notes Which are the highly active areas in the ontology?
Distinct authors of changes/notes Which concepts attract many different authors?
Authors Gini coefficient Which concepts are edited more “democratically”, i.e., in a more evenly distributed manner? Contrarily, which are the areas/concepts that are dominated by many changes of a single author?
Overrides Which concepts cause most disputes (i.e. have the highest amount of changes performed on the same properties of a concept)?
Edit sessions Which are the highly active areas (with aggregated consecutive changes of the same property by the same author being 1 edit session)?
Distinct authors by property Which concepts have many properties that are edited by many different authors?
Network Features
Number of parents/children Which concepts have many parents? (This is particularly interesting in the case of ICD-11, as multiple parents were not possible in ICD-10 and are therefore introduced gradually.) Which concepts have many children? (i.e. Number of parents/children in the ontological structure)
Depth in network Which concepts are at what levels in the ontological structure (i.e. what is the shortest path of each concept to the root concept)?
Betweenness centrality (directed/undirected), Pagerank, Closeness centrality What are central/popular concepts in the ontology, when looking at different attributes of the network structure of the ontology?
Number of changes by community How many changes of a concept did each community performed?
Number of titles/definitions and language codes How many different titles, definitions or language codes are available for each concept?
Author Specific Concept Network
Changes and Notes History
Number of changes and/or notes What concepts or areas of the ontology did a user either edit or comment frequently? What concepts or areas of the ontology did a user both, edit and annotate frequently?