@article{(Open Science Index):https://publications.waset.org/pdf/9998270,
	  title     = {Frequency- and Content-Based Tag Cloud Font Distribution Algorithm},
	  author    = {Ágnes Bogárdi-Mészöly and  Takeshi Hashimoto and  Shohei Yokoyama and  Hiroshi Ishikawa},
	  country	= {},
	  institution	= {},
	  abstract     = {The spread of Web 2.0 has caused user-generated content explosion. Users can tag resources to describe and organize
them. Tag clouds provide rough impression of relative importance of
each tag within overall cloud in order to facilitate browsing among
numerous tags and resources. The goal of our paper is to enrich
visualization of tag clouds. A font distribution algorithm has been
proposed to calculate a novel metric based on frequency and content,
and to classify among classes from this metric based on power
law distribution and percentages. The suggested algorithm has been
validated and verified on the tag cloud of a real-world thesis portal.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {5},
	  year      = {2014},
	  pages     = {779 - 783},
	  ee        = {https://publications.waset.org/pdf/9998270},
	  url   	= {https://publications.waset.org/vol/89},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 89, 2014},
	}