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Title
Exploratory Study of Developing a Synchronization-Based Approach for Multi-step Discovery of Knowledge Structures
Author(s)
So Young Yu
Publication Year
2014-06-30
Abstract
As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and characterizing topics also has been recognized more. This study, therefore, explores an approach of combining text mining with network analysis in a multi-step approach. The concept of synchronization was applied to re-assign the top author keywords in more than one topic category, in order to improve the visibility of the topic-author keyword network, and to increase the topical cohesion in each topic. The suggested approach was applied using 16,548 articles with 2,881 unique author keywords in construction and building engineering indexed by KSCI. As a result, it was revealed that the combined approach could improve both the visibility of the topic-author keyword map and topical cohesion in most of the detected topic categories. There should be more cases of applying the approach in various domains for generalization and advancement of the approach. Also, more sophisticated evaluation methods should also be necessary to develop the suggested approach.
Keyword
Synchronization; Ego-centric Network; Topic Modeling; Informetrics
Journal Title
Journal of Information Science Theory and Practice
Citation Volume
2
ISSN
2287-4577
DOI
10.1633/JISTaP.2014.2.2.2
Files in This Item:
Thumbnail E1JSCH_2014_v2n2_16.pdf3.99 MBDownload
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 2 - No. 2
Type
Article
URI
https://repository.kisti.re.kr/handle/10580/8652
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