Co-words analysis-based hotspots in domestic MOOC studies / 中华医学图书情报杂志

High frequency key words in papers on MOOC were retrieved from CNKI and Wanfang Data Knowledge Service Platform.A co-words matrix was constructed , which was then transformed into correlation matrix and dis-similarity matrix, respectively.The correlation matrix was analyzed by multidimensional scaling analysis to show the hotspots in domestic MOOC studies on teaching reform, open education, information technology, resource develop-ment, library service innovation and its development trends.

Co-words analysis-based hot research spots in papers on reading therapy published in China / 中华医学图书情报杂志

The high frequency key words in papers on reading therapy published in China were selected, the fre-quencies of co-words presenting in a paper were calculated, and the established matrix of co-words was trans-formed into correlative matrix and diversity matrix, respectively.The diversity matrix was analyzed by cluster analysis and the hot research spots in papers on reading therapy published China were studied.