2014 18th International Conference on Information Visualisation 2014
DOI: 10.1109/iv.2014.47
|View full text |Cite
|
Sign up to set email alerts
|

HistoGraph -- A Visualization Tool for Collaborative Analysis of Networks from Historical Social Multimedia Collections

Abstract: Abstract-This paper describes the design and development of histoGraph, an interactive tool for explorative visualization and collaborative investigation of historical social networks from multimedia collections. Developed in an interdisciplinary collaboration of computer scientists, historians, HCI researchers and interface designers, the tool aims at supporting historians in the discovery and historical analysis of relationships between people, places and events. A special focus is on the identification and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
13
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 20 publications
(13 citation statements)
references
References 25 publications
0
13
0
Order By: Relevance
“…Moreover, the content of objects can be treated as data and processed or analyzed to derive additional metadata and better organize the visualized collection. Examples of applied techniques include text mining [53], [55], [56], clustering of 3D objects based on shape similarity [54], image analysis for face recognition [57], average color abstraction [52], style, genre and artist classification [58], or clustering [59]. Fig.…”
Section: Datamentioning
confidence: 99%
See 2 more Smart Citations
“…Moreover, the content of objects can be treated as data and processed or analyzed to derive additional metadata and better organize the visualized collection. Examples of applied techniques include text mining [53], [55], [56], clustering of 3D objects based on shape similarity [54], image analysis for face recognition [57], average color abstraction [52], style, genre and artist classification [58], or clustering [59]. Fig.…”
Section: Datamentioning
confidence: 99%
“…A minor amount of papers also claimed to support collaboration [54], [57], [65], [66], [67] and communication [66], [68], [69], [70]. As an early example, [54] emphasized the potential collaboration of different CH institutions in developing CH databases.…”
Section: Purposementioning
confidence: 99%
See 1 more Smart Citation
“…Figure 1 shows a mock-up of Storyteller. 7 The tool visualizes connections between events that happen over time and participants in these events. Events are divided into groups, based on data set-specific properties.…”
Section: Valuation -Interrelationmentioning
confidence: 99%
“…Visualizations in digital humanities often represent the results of complex algorithms running on 'big data' from the humanities domain. Humanities scholars agree that the visualization of their data is an essential instrument to communicate their research results and to evoke scholarly debates as well as public interest [7] [10] [5]. The disciplinary characteristics of both scholarly practices and data in the humanities, however, offer a challenge for visualization techniques.…”
Section: Introductionmentioning
confidence: 99%