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Analytics and visualization of citation network applying topic-based clustering

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Abstract

Survey of papers is not an easy task for novice researchers because it may happen that they miss appropriate keywords for their survey. It often takes a long time for young researchers to find research papers even when they use famous search engines like Google Scholar. In addition, they may not be familiar with understanding positions of papers in their research fields smoothly. To resolve this problem, many researchers have studied citation network visualization techniques for surveying papers. However, it is still often difficult to observe the complicated relations across multiple research fields or traverse the entire relations in their interest. Additional clues, as well as a citation network, are therefore important for survey of papers. In this paper, we proposed a visualization technique for citation networks applying a topic-based paper clustering. Our technique categorizes papers applying LDA (latent dirichlet allocation) and constructs clustered networks consisting of the papers. We applied the technique to three datasets. The results of our visualization technique demonstrated that the proposed technique could contribute to help users to understand the positions of papers in the research fields. We conducted subjective evaluation compared with time-oriented technique and demonstrated that our technique was more helpful for novice researchers like students to find papers.

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References

  • ACM Digital Library, http://dl.acm.org/

  • Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022

    MATH  Google Scholar 

  • Brandes U, Willhalm T (2002) Visualization of bibliographic networks with a reshaped landscape metaphor. In: Proceedings of the symposium on data visualisation, vol 2002, pp 159–164

  • Chen C (2006) CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inf Sci Technol 57(3):359–377

    Article  MathSciNet  Google Scholar 

  • Drk M, Riche NH, Ramos G, Dumais S (2012) PivotPaths: strolling through faceted information spaces. IEEE Trans Vis Comput Graph 18(12):2709–2718

    Article  Google Scholar 

  • Dunne C, Shneiderman B, Gove R, Klavans J, Dorr B (2012) Rapid understanding of scientific paper collections: integrating statistics, text analytics, and visualization. J Am Soc Inf Sci Technol 63(12):2351–2369

    Article  Google Scholar 

  • Google Scholar, https://scholar.google.co.jp/

  • Heimerl F, Han Q, Koch S, Ertl T (2016) CiteRivers: visual analytics of citation patterns. IEEE Trans Vis Comput Graph 22(1):190–199

    Article  Google Scholar 

  • Henry N, Goodell H, Elmqvist N, Fekete JD (2007) 20 years of four HCI conferences: a visual exploration. Int J Hum Comput Interact 23(3):239–285

    Article  Google Scholar 

  • IEEE Xplore Digital Library, http://ieeexplore.ieee.org/

  • Il Park S , Hodgins JK (2008) Data-driven modeling of skin and muscle deformation. In: ACM SIGGRAPH 2008 papers (SIGGRAPH ’08). ACM, New York, NY, USA, Article 96

  • IlPark S, Hodgins JK (2006) Capturing and animating skin deformation in human motion. ACM Trans Graph 25(3):881–889

    Article  Google Scholar 

  • Itoh T, Muelder C, Ma K, Sese J (2009) A hybrid space-filling and force-directed layout method for visualizing multiple-category graphs. In: IEEE pacific visualization symposium, pp 121–128

  • Lee B, Czerwinski M, Robertson G, Bederson BB (2005) Understanding research trends in conferences using PaperLens. In: CHI’05 extended abstracts on Human factors in computing systems, pp 1969–1972

  • Liu S, Zhou MX, Pan S, Song Y, Qian W, Cai W, Lian X (2012) TIARA: interactive, topic-based visual text summarization and analysis. ACM Trans Intell Syst Technol 3, 2, Article 25, 28

  • Mackinlay JD, Rao R, Card SK (1995) An organic user interface for searching citation links. In: The SIGCHI conference on Human factors in computing systems, pp 67–73

  • Matejka J, Grossman T, Fitzmaurice G (2012) Citeology: visualizing paper genealogy. In: CHI’12 extended abstracts on human factors in computing systems, pp 181–190

  • Mohr A, Gleicher M (2003) Building efficient, accurate character skins from examples. ACM Trans Graph 22(3):562–568

    Article  Google Scholar 

  • Nakazawa R, Itoh T, Saito T (2015) A visualization of research papers based on the topics and citation network. In: 19th international conference on information visualisation (iV), pp 283–289

  • Nakazawa R, Itoh T, Sese J, Terada A (2012) Integrated visualization of gene network and ontology applying a hierarchical graph visualization technique. In: 16th International conference on information visualization (iV), pp 81–86

  • Pienta R, Hohman F, Endert A, Tamersoy A, Roundy K, Gates C, Chau DH (2017) VIGOR: interactive visual exploration of graph query results. IEEE Trans Vis Comput Graph 24(1):215–225

    Article  Google Scholar 

  • Sand P, McMillan L, Popovi J (2003) Continuous capture of skin deformation. In: ACM SIGGRAPH, (2003) Papers (SIGGRAPH ’03), ACM, New York, NY, USA, pp 578–586

  • Shahaf D, Guestrin C, Horvitz E (2012) Metro maps of science. In: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 1122–1130

  • Small H (1999) Visualizing science by citation mapping. J Am Soc Inf Sci 50(9):799–813

    Article  Google Scholar 

  • Stasko J, Carsten G, Zhicheng L (2008) Jigsaw: supporting investigative analysis through interactive visualization. Inf Vis 7(2):118–132

    Article  Google Scholar 

  • Stasko J, Choo J, Han Y, Hu M, Pileggi H, Sadana R, Stolper CD (2013) Citevis: Exploring conference paper citation data visually. Posters of IEEE InfoVis

  • Tsumura N, Ojima N, Sato K, Shiraishi M, Shimizu H, Nabeshima H, Akazaki S, Hori K, Miyake Y (2003) Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. ACM Trans. Graph. 22, 3 (July 2003), pp 770–779

  • Van Eck NJ, Waltman L (2014) CitNetExplorer: a new software and tool for analyzing and visualizing citation networks. J Inf 8(4):802–823

    Google Scholar 

  • Weyrich T, Matusik W, Pfister H, Bickel B, Donner C, Tu C, McAndless J, Lee J, Ngan A, Jensen HW, Gross M (2006) Analysis of human faces using a measurement-based skin reflectance model. ACM Trans. Graph. 25, 3 (July 2006), pp 1013–1024

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Authors and Affiliations

  1. Ochanomizu University, Tokyo, Japan

    Rina Nakazawa & Takayuki Itoh

  2. Tokyo University of Agriculture and Technology, Tokyo, Japan

    Takafumi Saito

Authors
  1. Rina Nakazawa
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  2. Takayuki Itoh
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  3. Takafumi Saito
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Correspondence to Rina Nakazawa.

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Nakazawa, R., Itoh, T. & Saito, T. Analytics and visualization of citation network applying topic-based clustering. J Vis 21, 681–693 (2018). https://doi.org/10.1007/s12650-018-0483-5

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  • DOI: https://doi.org/10.1007/s12650-018-0483-5

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