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Applied Network Science
Article . 2020
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Applied Network Science
Article
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Exploring dynamic multilayer graphs for digital humanities

Authors: Stefan Bornhofen; Marten Düring;

Exploring dynamic multilayer graphs for digital humanities

Abstract

AbstractThe paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practical use case on a corpus of circa 15.000 digitized resources about European integration since 1945. The corpus allowed generating a dynamic multilayer network which represents different kinds of named entities appearing and co-appearing in the collections. To our knowledge, Intergraph is one of the first interactive tools to visualize dynamic multilayer graphs for collections of digitized historical sources. Graph visualization and interaction methods have been designed based on user requirements for content exploration by non-technical users without a strong background in network science, and to compensate for common flaws with the annotation of named entities. Users work with self-selected subsets of the overall data by interacting with a scene of small graphs which can be added, altered and compared. This allows an interest-driven navigation in the corpus and the discovery of the interconnections of its entities across time.

Country
France
Subjects by Vocabulary

Microsoft Academic Graph classification: Visual analytics Computer science Network science User requirements document Annotation Graph drawing Information retrieval Graph Historical document

Library of Congress Subject Headings: lcsh:T57-57.97 lcsh:Applied mathematics. Quantitative methods

Keywords

dynamic multilayer networks, Computer Networks and Communications, visual analytics, Multidisciplinary, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], network visualization, [INFO.INFO-CE] Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], Computational Mathematics, digital humanities

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Funded by
ANR| BLIZAAR
Project
BLIZAAR
Hybrid Visualization of Dynamic Multilayer Graphs
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-15-CE23-0002
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