Predicting the Global Impact of Authors from the Learning Analytics Community - A Case Study grounded in CNA

Remus Florentin Ionita, Dragos Georgian Corlatescu, Mihai Dascalu, Danielle S. McNamara

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

Abstract

Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from the articles of the International Conference of Learning Analytics Knowledge (LAK) in its first decade, this paper proposes a novel method grounded in Cohesion Network Analysis (CNA) to analyze subcommunities of authors based on the semantic similarities between authors and papers, and estimate their global impact. Paper abstracts are represented as embeddings using a fine-tuned SciBERT language model, alongside a custom trained LSA model. The extrapolation between the local LAK community to a worldwide importance was also underlined by the comparison between the rankings obtained from our method and statistics from ResearchGate. The accuracies for binary classifications in terms of high/low impact predictions were around 70% for authors, and around 80% for articles. Our method can guide researchers by providing valuable information on the interactions between the members of a knowledge community and by highlighting central local authors who may potentially have a high global impact.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 23rd International Conference on Control Systems and Computer Science Technologies, CSCS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages439-446
Number of pages8
ISBN (Electronic)9781665439398
DOIs
StatePublished - May 2021
Externally publishedYes
Event23rd International Conference on Control Systems and Computer Science Technologies, CSCS 2021 - Virtual, Bucharest, Romania
Duration: May 26 2021May 28 2021

Publication series

NameProceedings - 2021 23rd International Conference on Control Systems and Computer Science Technologies, CSCS 2021

Conference

Conference23rd International Conference on Control Systems and Computer Science Technologies, CSCS 2021
Country/TerritoryRomania
CityVirtual, Bucharest
Period5/26/215/28/21

Keywords

  • Cohesion Network Analysis
  • Global Author and Paper Impact
  • Semantic and Co-authorship Links

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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