Journal of Data and Information Science (Aug 2017)

Detecting Dynamics of Hot Topics with Alluvial Diagrams: A Timeline Visualization

Ruan Wenjing,
Hou Haiyan,
Hu Zhigang

Affiliations

Ruan Wenjing: WISE Lab, Dalian University of Technology, Dalian116024, China
Hou Haiyan: WISE Lab, Dalian University of Technology, Dalian116024, China
Hu Zhigang: WISE Lab, Dalian University of Technology, Dalian116024, China

DOI: https://doi.org/10.1515/jdis-2017-0013
Journal volume & issue: Vol. 2, no. 3
pp. 37 – 48

Abstract

In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

About the journal