Citation Sentiment Changes Analysis
This work addresses the need for time-series analysis of citation sentiment to evaluate publication impact, but it appears incremental as it adapts an existing method (EDR) to a new application without major breakthroughs.
The paper tackled the problem of analyzing changes in citation sentiment over time by introducing metrics and using Eddy Dissipation Rate (EDR) to analyze global citation sentiment sequences, with preliminary evidence suggesting EDR can assess a publication's impact in a time series manner.
Metrics for measuring the citation sentiment changes were introduced. Citation sentiment changes can be observed from global citation sentiment sequences (GCSSs). With respect to a cited paper, the citation sentiment sequences were analysed across a collection of citing papers ordered by the published time. For analysing GCSSs, Eddy Dissipation Rate (EDR) was adopted, with the hypothesis that the GCSSs pattern differences can be spotted by EDR based method. Preliminary evidence showed that EDR based method holds the potential for analysing a publication's impact in a time series fashion.