Citation Sentiment Changes Analysis

TL;DR

This paper introduces metrics and an EDR-based method to analyze how citation sentiments evolve over time, providing a new way to assess a publication's impact through citation sentiment sequences.

Contribution

It presents a novel approach using Eddy Dissipation Rate to analyze global citation sentiment sequences and detect pattern differences over time.

Findings

EDR-based method can identify citation sentiment pattern changes

Preliminary results suggest potential for impact analysis

Method shows promise for time series citation sentiment analysis

Abstract

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.