The research of multi-layer topic map analysis using co-word analysis with growing hierarchical self-organizing map

被引：0

作者：

Yang Y.-H. ^{[1
]}

Tsaih R.-H. ^{[1
]}

Bhikshu H. ^{[2
]}

机构：

[1] Dept. of Management Information Systems, National Chengchi University

[2] Dharma Drum Buddhist College, General Education, Taipei National University of the Arts

来源：

International Journal of Digital Content Technology and its Applications | 2011年 / 5卷 / 03期

关键词：

Altruism; Co-word; GHSOM; Growing Hierarchical Self-Organizing Map; Topic-map;

D O I：

10.4156/jdcta.vol5.issue3.35

中图分类号：

学科分类号：

摘要：

The purpose of this study was to propose a multi-layer topic map analysis using co-word analysis of informetrics with Growing Hierarchical Self-Organizing Map (GHSOM). The topic map illustrated the delicate intertwining of subject areas and provided a more explicit illustration of the concepts within each subject area. We applied GHSOM, a text-mining Neural Networks tool, to obtain a hierarchical topic map. After taking up one example of altruism in evaluation, we suggest that topic map may disclose some important facts from a whole bunch of data.

引用

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页码：355 / 363

页数：8

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