@article{
 title = {A Taxonomy and Survey of Dynamic Graph Visualization},
 type = {article},
 year = {2017},
 identifiers = {[object Object]},
 keywords = {Information Interfaces and Presentation H.5.2 User,dynamic graph visualization,survey,taxonomy},
 pages = {133-159},
 volume = {36},
 id = {9d8fe6da-8b40-3631-8b89-921766450a27},
 created = {2018-06-28T15:26:55.417Z},
 file_attached = {false},
 profile_id = {2ed0fe69-06a2-3e8b-9bc9-5bdb197f1120},
 group_id = {e795dbfa-5576-3499-9c01-6574f19bf7aa},
 last_modified = {2018-12-14T12:16:31.587Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Beck2017},
 private_publication = {false},
 abstract = {Dynamic graph visualization focuses on the challenge of representing the evolution of relationships between entities\r\nin readable, scalable, and effective diagrams. This work surveys the growing number of approaches in this\r\ndiscipline. We derive a hierarchical taxonomy of techniques by systematically categorizing and tagging publications.\r\nWhile static graph visualizations are often divided into node-link and matrix representations, we identify\r\nthe representation of time as the major distinguishing feature for dynamic graph visualizations: either graphs are\r\nrepresented as animated diagrams or as static charts based on a timeline. Evaluations of animated approaches\r\nfocus on dynamic stability for preserving the viewer’s mental map or, in general, compare animated diagrams to\r\ntimeline-based ones. A bibliographic analysis provides insights into the organization and development of the field\r\nand its community. Finally, we identify and discuss challenges for future research. We also provide feedback from\r\nexperts, collected with a questionnaire, which gives a broad perspective of these challenges and the current state\r\nof the field.},
 bibtype = {article},
 author = {Beck, Fabian and Burch, Michael and Diehl, Stephan and Weiskopf, Daniel},
 journal = {Computer Graphics Forum},
 number = {1}
}

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