Dynamic Visualization of Citation Networks Showing the Influence of Scholarly Fields over Time

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9792)


Citation graphs between scholarly papers can be used to learn about the structure and development of scholarship. We present a generalizable approach to visualizing scholarly influence over time, using a dynamic node-link diagram representing the citation patterns between groups of papers. We combine this approach with hierarchical clustering techniques that exploit the network structure to partition the graph into clusters representing fields and subfields. We use these methods to explore the influence that fields have had on other fields over time.


Big scholarly data Citation networks Dynamic network visualization Scholarly evaluation Science of science 



We would like to thank the Pew Charitable Trusts and the Metaknowledge Network for funding and other support. We also thank JSTOR and Microsoft Academic Search for allowing us the use of their data.


  1. 1.
    Beck, F., Burch, M., Diehl, S., Weiskopf, D.: The state of the art in visualizing dynamic graphs. In: EuroVis STAR (2014)Google Scholar
  2. 2.
    Bostock, M., Ogievetsky, V., Heer, J.: D3: data-driven documents. IEEE Trans. Vis. Comput. Graph. 17, 2301–2309 (2011). (Proc. InfoVis)CrossRefGoogle Scholar
  3. 3.
    Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: Science mapping software tools: review, analysis, and cooperative study among tools. J. Am. Soc. Inf. Sci. Technol. 62(7), 1382–1402 (2011). doi: 10.1002/asi.21525
  4. 4.
    Rosvall, M., Bergstrom, C.T.: Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems. PLoS ONE 6(4), e18209 (2011). doi: 10.1371/journal.pone.0018209
  5. 5.
    Segel, E., Heer, J.: Narrative visualization: telling stories with data. IEEE Trans. Vis. Comput. Graph. 16(6), 1139–1148 (2010). doi: 10.1109/TVCG.2010.179 CrossRefGoogle Scholar
  6. 6.
    Wesley-Smith, I., Bergstrom, C.T., West, J.D.: Static ranking of scholarly papers using article-level eigenfactor (ALEF). ACM (2016)Google Scholar
  7. 7.
    West, J.D., Bergstrom, T.C., Bergstrom, C.T.: The eigenfactor MetricsTM: a network approach to assessing scholarly journals. Coll. Res. Libr. 71(3), 236–244 (2010). doi: 10.5860/0710236 CrossRefGoogle Scholar
  8. 8.
    West, J.D., Jacquet, J., King, M.M., Correll, S.J., Bergstrom, C.T.: The role of gender in scholarly authorship. PloS One 8(7), e66212 (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.The Information SchoolUniversity of WashingtonSeattleUSA

Personalised recommendations