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@article{ART002109921},
author={Hyon Hee Kim and Rhee Hey Young},
title={Trend Analysis of Data Mining Research Using Topic Network Analysis},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2016},
volume={21},
number={5},
pages={141-148}

TY - JOUR
AU - Hyon Hee Kim
AU - Rhee Hey Young
TI - Trend Analysis of Data Mining Research Using Topic Network Analysis
JO - Journal of The Korea Society of Computer and Information
PY - 2016
VL - 21
IS - 5
PB - The Korean Society Of Computer And Information
SP - 141
EP - 148
SN - 1598-849X
AB - In this paper, we propose a topic network analysis approach which integrates topic modeling and social network analysis. We collected 2,039 scientific papers from five top journals in the field of data mining published from 1996 to 2015, and analyzed them with the proposed approach. To identify topic trends, time-series analysis of topic network is performed based on 4 intervals. Our experimental results show centralization of the topic network has the highest score from 1996 to 2000, and decreases for next 5 years and increases again. For last 5 years, centralization of the degree centrality increases, while centralization of the betweenness centrality and closeness centrality decreases again. Also, clustering is identified as the most interrelated topic among other topics. Topics with the highest degree centrality evolves clustering, web applications, clustering and dimensionality reduction according to time. Our approach extracts the interrelationships of topics, which cannot be detected with conventional topic modeling approaches, and provides topical trends of data mining research fields.
KW - Topic network analysis;Research trend analysis;Topic modeling;Social network analysis
DO -
UR -
ER -

Hyon Hee Kim and Rhee Hey Young. (2016). Trend Analysis of Data Mining Research Using Topic Network Analysis. Journal of The Korea Society of Computer and Information, 21(5), 141-148.

Hyon Hee Kim and Rhee Hey Young. 2016, "Trend Analysis of Data Mining Research Using Topic Network Analysis", Journal of The Korea Society of Computer and Information, vol.21, no.5 pp.141-148.

Hyon Hee Kim, Rhee Hey Young "Trend Analysis of Data Mining Research Using Topic Network Analysis" Journal of The Korea Society of Computer and Information 21.5 pp.141-148 (2016) : 141.

Hyon Hee Kim, Rhee Hey Young. Trend Analysis of Data Mining Research Using Topic Network Analysis. 2016; 21(5), 141-148.

Hyon Hee Kim and Rhee Hey Young. "Trend Analysis of Data Mining Research Using Topic Network Analysis" Journal of The Korea Society of Computer and Information 21, no.5 (2016) : 141-148.

Hyon Hee Kim; Rhee Hey Young. Trend Analysis of Data Mining Research Using Topic Network Analysis. Journal of The Korea Society of Computer and Information, 21(5), 141-148.

Hyon Hee Kim; Rhee Hey Young. Trend Analysis of Data Mining Research Using Topic Network Analysis. Journal of The Korea Society of Computer and Information. 2016; 21(5) 141-148.

Hyon Hee Kim, Rhee Hey Young. Trend Analysis of Data Mining Research Using Topic Network Analysis. 2016; 21(5), 141-148.

Hyon Hee Kim and Rhee Hey Young. "Trend Analysis of Data Mining Research Using Topic Network Analysis" Journal of The Korea Society of Computer and Information 21, no.5 (2016) : 141-148.