publication . Article . Conference object . 2020

Exploring dynamic multilayer graphs for digital humanities

Stefan Bornhofen; Marten Düring;
Open Access English
  • Published: 26 Aug 2020
  • Publisher: HAL CCSD
  • Country: France
Abstract
International audience; The 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presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections.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 i...
Persistent Identifiers
Subjects
free text keywords: Visual analytics, Network visualization, Dynamic multilayer networks, Digital humanities, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], Graph drawing, Historical document, Graph, Information retrieval, Network science, Visual analytics, User requirements document, Computer science, Digital humanities, Annotation, lcsh:Applied mathematics. Quantitative methods, lcsh:T57-57.97
Related Organizations
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
Communities
Social Science and Humanities
DARIAH EU
Digital Humanities and Cultural Heritage
47 references, page 1 of 4

Auber D (2004) Tulip - A Huge Graph Visualization Framework. Graph Draw Softw:105-126. https://link.springer.com/ chapter/10.1007/978-3-642-18638-7_5#citeas

Bastian M, Heymann S, Jacomy M (2009) Gephi: an open source software for exploring and manipulating networks. Int AAAI Conf Weblogs Soc Media:361-362. https://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154

Beck F, Burch M, Diehl S, Weiskopf D (2017) A taxonomy and survey of dynamic graph visualization. Comput Graph Forum 36:1

Bobadilla J, Ortega F, Hernando A, Gutirrez A (2013) Recommender systems survey. Knowl Based Syst 46:109-132

Boren T, Ramey J (2000) Thinking aloud: reconciling theory and practice. IEEE Trans Prof Commu 43(3):261-278

Boukhelifa N, Giannisakis E, Dimara E, Willett W, Fekete J-D (2015) Supporting Historical Research Through User-Centered Visual Analytics. In: Bertini E, Roberts JC (eds). EuroVis Workshop on Visual Analytics (EuroVA). The Eurographics Association. pp 1-5. https://diglib.eg.org/handle/10.2312/eurova.20151095.001-005 [OpenAIRE]

Brown SC, Greengrass M (2006) RePAH: a user requirements analysis for research portals in the arts and humanities. Humanities Research Institute Online, Sheffield University, Leicester [OpenAIRE]

Buchanan G, Cunningham SJ, Blandford A, Rimmer J, Warwick C (2005) Information Seeking by Humanities Scholars:218-229

Collins C, Carpendale S (2007) VisLink: Revealing Relationships Amongst Visualizations. IEEE Trans Vis Comput Graph (Proc IEEE Conf Inf Vis (InfoVis)) 13(6):1-6

De Domenico M, Porter MA, Arenas A (2014) MuxViz: a tool for multilayer analysis and visualization of networks. J Complex Netw 3:159-176

Düring M (2013) HNR Bibliography. Historical Network Research. Retrieved September 1, 2018 from http:// historicalnetworkresearch.org/bibliography

Düring M (2019) Networks as Gateaways. Gleanings from applications for the exploration of historical data. In: Kerschbaumer F, von Keyserlingk L, Stark M, Düring M (eds). The Power of Networks. Prospects of Historical Network Research. Routledge Publishers, Abingdon

Ellis D (1989) A behavioural approach to information retrieval system design. J Doc 45(3):171-212

Ghani S, Kwon B. C, Lee S, Yi J. S, Elmqvist N (2013) Visual analytics for multimodal social network analysis: A design study with social scientists. IEEE Trans Vis Comput Graph 19(12):2032-2041

Ghoniem M, McGee F, Melançon G, Otjacques B, Pinaud B (2019) The State of the Art in Multilayer Network Visualization. Comput Graph Forum 38(6):125-149 [OpenAIRE]

47 references, page 1 of 4
Abstract
International audience; The 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 i...
Persistent Identifiers
Subjects
free text keywords: Visual analytics, Network visualization, Dynamic multilayer networks, Digital humanities, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], Graph drawing, Historical document, Graph, Information retrieval, Network science, Visual analytics, User requirements document, Computer science, Digital humanities, Annotation, lcsh:Applied mathematics. Quantitative methods, lcsh:T57-57.97
Related Organizations
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
Communities
Social Science and Humanities
DARIAH EU
Digital Humanities and Cultural Heritage
47 references, page 1 of 4

Auber D (2004) Tulip - A Huge Graph Visualization Framework. Graph Draw Softw:105-126. https://link.springer.com/ chapter/10.1007/978-3-642-18638-7_5#citeas

Bastian M, Heymann S, Jacomy M (2009) Gephi: an open source software for exploring and manipulating networks. Int AAAI Conf Weblogs Soc Media:361-362. https://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154

Beck F, Burch M, Diehl S, Weiskopf D (2017) A taxonomy and survey of dynamic graph visualization. Comput Graph Forum 36:1

Bobadilla J, Ortega F, Hernando A, Gutirrez A (2013) Recommender systems survey. Knowl Based Syst 46:109-132

Boren T, Ramey J (2000) Thinking aloud: reconciling theory and practice. IEEE Trans Prof Commu 43(3):261-278

Boukhelifa N, Giannisakis E, Dimara E, Willett W, Fekete J-D (2015) Supporting Historical Research Through User-Centered Visual Analytics. In: Bertini E, Roberts JC (eds). EuroVis Workshop on Visual Analytics (EuroVA). The Eurographics Association. pp 1-5. https://diglib.eg.org/handle/10.2312/eurova.20151095.001-005 [OpenAIRE]

Brown SC, Greengrass M (2006) RePAH: a user requirements analysis for research portals in the arts and humanities. Humanities Research Institute Online, Sheffield University, Leicester [OpenAIRE]

Buchanan G, Cunningham SJ, Blandford A, Rimmer J, Warwick C (2005) Information Seeking by Humanities Scholars:218-229

Collins C, Carpendale S (2007) VisLink: Revealing Relationships Amongst Visualizations. IEEE Trans Vis Comput Graph (Proc IEEE Conf Inf Vis (InfoVis)) 13(6):1-6

De Domenico M, Porter MA, Arenas A (2014) MuxViz: a tool for multilayer analysis and visualization of networks. J Complex Netw 3:159-176

Düring M (2013) HNR Bibliography. Historical Network Research. Retrieved September 1, 2018 from http:// historicalnetworkresearch.org/bibliography

Düring M (2019) Networks as Gateaways. Gleanings from applications for the exploration of historical data. In: Kerschbaumer F, von Keyserlingk L, Stark M, Düring M (eds). The Power of Networks. Prospects of Historical Network Research. Routledge Publishers, Abingdon

Ellis D (1989) A behavioural approach to information retrieval system design. J Doc 45(3):171-212

Ghani S, Kwon B. C, Lee S, Yi J. S, Elmqvist N (2013) Visual analytics for multimodal social network analysis: A design study with social scientists. IEEE Trans Vis Comput Graph 19(12):2032-2041

Ghoniem M, McGee F, Melançon G, Otjacques B, Pinaud B (2019) The State of the Art in Multilayer Network Visualization. Comput Graph Forum 38(6):125-149 [OpenAIRE]

47 references, page 1 of 4
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