Visualizing bibliographic databases as graphs and mining potential research synergies

Iraklis Varlamis, George Tsatsaronis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analyzed across different dimensions (e.g., author, year, venue, topic) and can be exploited in multiple ways. The representation and visualization of bibliographic databases as graphs and the application of data mining techniques can help us uncover interesting knowledge concerning potential synergies between researchers, possible matchings between researchers and venues, or even the ideal venue for presenting a research work. In this paper, we propose a novel representation model for bibliographic data, which combines coauthorship and content similarity information, and allows for the formation of scientific networks. Using a graph visualization tool from the biological domain, we are able to provide comprehensive visualizations that help us uncover hidden relations between authors and suggest potential synergies between researchers or groups.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Pages53-60
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan, Province of China
Duration: Jul 25 2011Jul 27 2011

Publication series

NameProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Conference

Conference2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period07/25/1107/27/11

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