@article{(Open Science Index):https://publications.waset.org/pdf/10005419,
	  title     = {Analysis of Attention to the Confucius Institute from Domestic and Foreign Mainstream Media},
	  author    = {Wei Yang and  Xiaohui Cui and  Weiping Zhu and  Liqun Liu},
	  country	= {},
	  institution	= {},
	  abstract     = {The rapid development of the Confucius Institute is attracting more and more attention from mainstream media around the world. Mainstream media plays a large role in public information dissemination and public opinion. This study presents efforts to analyze the correlation and functional relationship between domestic and foreign mainstream media by analyzing the amount of reports on the Confucius Institute. Three kinds of correlation calculation methods, the Pearson correlation coefficient (PCC), the Spearman correlation coefficient (SCC), and the Kendall rank correlation coefficient (KCC), were applied to analyze the correlations among mainstream media from three regions: mainland of China; Hong Kong and Macao (the two special administration regions of China denoted as SARs); and overseas countries excluding China, such as the United States, England, and Canada. Further, the paper measures the functional relationships among the regions using a regression model. The experimental analyses found high correlations among mainstream media from the different regions. Additionally, we found that there is a linear relationship between the mainstream media of overseas countries and those of the SARs by analyzing the amount of reports on the Confucius Institute based on a data set obtained by crawling the websites of 106 mainstream media during the years 2004 to 2014.},
	    journal   = {International Journal of Humanities and Social Sciences},
	  volume    = {10},
	  number    = {7},
	  year      = {2016},
	  pages     = {2511 - 2516},
	  ee        = {https://publications.waset.org/pdf/10005419},
	  url   	= {https://publications.waset.org/vol/115},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 115, 2016},
	}