Citeology: Visualizing Paper Genealogy

Justin Matejka, Tovi Grossman, George Fitzmaurice

January 2012 · CHI ‘12 Extended Abstracts on Human Factors in Computing Systems (CHI EA)

Abstract

Citeology is an interactive visualization that looks at the relationships between research publications through their use of citations. The sample corpus uses all 3,502 papers published at ACM CHI and UIST between 1982 and 2010, and the 11,699 citations between them. A connection is drawn between each paper and all papers which it referenced from the collection. For an individual paper, the resulting visualization represents a \"family tree\" of sorts, showing multiple generations of referenced papers which the target paper built upon, and all descendant generations of future papers.

DOI PDF

Figures

Figure 1. Citeology for Spotlight [9]. (Note: high resolution vector version in Appendix A)

Figure 2. Citeology of all CHI and UIST papers before and after the citation network has been drawn, and a zoomed in view of the years and the paper titles.

Figure 5. Feeadback when over a paper titie.

Figure 4. Citeologies showing 1, 2, and All generations from the CHI 1995 paper Bricks: laying the foundations for graspable user interfaces [5].

Figure 5. Main Components of the Citeology Interface.

Figure 6. A zoomed in view of a high-resolution exported Citeology.

Figure 7. Plot of the number of total descendants up to a given generation for each of the three papers with the most descendants.

Figure 8. Longest most direct path between two CHI papers. (18 generations)

Figure 9. Heatmap of click counts per paper during 3 week deployment. Ligher yellow names were clicked less, and dark red ones were clicked more.

BibTeX

@inproceedings{10.1145/2212776.2212796,
 abstract = {Citeology is an interactive visualization that looks at the relationships between research publications through their use of citations. The sample corpus uses all 3,502 papers published at ACM CHI and UIST between 1982 and 2010, and the 11,699 citations between them. A connection is drawn between each paper and all papers which it referenced from the collection. For an individual paper, the resulting visualization represents a "family tree" of sorts, showing multiple generations of referenced papers which the target paper built upon, and all descendant generations of future papers.},
 address = {New York, NY, USA},
 author = {Matejka, Justin and Grossman, Tovi and Fitzmaurice, George},
 booktitle = {CHI '12 Extended Abstracts on Human Factors in Computing Systems},
 doi = {10.1145/2212776.2212796},
 isbn = {9781450310161},
 keywords = {information visualization, citations, references},
 location = {Austin, Texas, USA},
 numpages = {10},
 pages = {181–190},
 publisher = {Association for Computing Machinery},
 series = {CHI EA '12},
 title = {Citeology: Visualizing Paper Genealogy},
 url = {https://doi.org/10.1145/2212776.2212796},
 year = {2012}
}