A visualization of relationships among papers using citation and co-citation information

Yu Nakano, Toshiyuki Shimizu, Masatoshi Yoshikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When we conduct scholarly surveys, we occasionally encounter difficulties in grasping the vast amount of related papers. Because academic papers have relationships, such as citing and cited relationships, we considered utilizing them for supporting scholarly surveys. In this paper, we propose a method for visualizing relationships among papers, and we construct paper graphs using two types of relationships, namely, citation and co-citation. Moreover, we quantify the strengths of citations and co-citations based on their frequency and the positions of co-citations, and show both types of relationships together in a graph. We constructed paper graphs using papers in the database field and discussed their usefulness.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationKnowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings
EditorsAtsuyuki Morishima, Andreas Rauber, Chern li Liew
PublisherSpringer Verlag
Pages157-163
Number of pages7
ISBN (Print)9783319493039
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016 - Tsukuba, Japan
Duration: Dec 7 2016Dec 9 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10075 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016
Country/TerritoryJapan
CityTsukuba
Period12/7/1612/9/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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