Visual analysis of research paper collections using normalized relative compression

The analysis of research paper collections is an interesting topic that can give insights on whether a research area is stalled in the same problems, or there is a great amount of novelty every year. Previous research has addressed similar tasks by the analysis of keywords or reference lists, with d...

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Detalhes bibliográficos
Autor: Vázquez Alcocer, Pere Pau|||0000-0003-4638-4065
Tipo de documento: artigo
Data de publicação:2019
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/143204
Acesso em linha:https://hdl.handle.net/2117/143204
https://dx.doi.org/10.3390/e21060612
Access Level:Acceso aberto
Palavra-chave:Information visualization -- Data processing
Visualization
Compression
Similarity
Text
Visualització de la informació -- Informàtica
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
Descrição
Resumo:The analysis of research paper collections is an interesting topic that can give insights on whether a research area is stalled in the same problems, or there is a great amount of novelty every year. Previous research has addressed similar tasks by the analysis of keywords or reference lists, with different degrees of human intervention. In this paper, we demonstrate how, with the use of Normalized Relative Compression, together with a set of automated data-processing tasks, we can successfully visually compare research articles and document collections. We also achieve very similar results with Normalized Conditional Compression that can be applied with a regular compressor. With our approach, we can group papers of different disciplines, analyze how a conference evolves throughout the different editions, or how the profile of a researcher changes through the time. We provide a set of tests that validate our technique, and show that it behaves better for these tasks than other techniques previously proposed.