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Investigators at Nankai University Report Findings in Information Technology (Extremality of degree-based graph entropies)

August 5, 2014

By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Current study results on Information Technology have been published. According to news reporting originating from Tianjin, People's Republic of China, by VerticalNews correspondents, research stated, "Many graph invariants have been used for the construction of entropy-based measures to characterize the structure of complex networks. Based on Shannon's entropy, we study graph entropies which are based on vertex degrees by using so-called information functionals."

Our news editors obtained a quote from the research from Nankai University, "When considering Shannon entropy-based graph measures, there has been very little work to find their extremal values. The main contribution of this paper is to prove some extremal values for the underlying graph entropy of certain families of graphs and to find the connection between the graph entropy and the sum of degree powers."

According to the news editors, the research concluded: "Further, conjectures to determine extremal values of graph entropies are given."

For more information on this research see: Extremality of degree-based graph entropies. Information Sciences, 2014;278():22-33. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier -; Information Sciences -

The news editors report that additional information may be obtained by contacting S.J. Cao, Nankai Univ, LPMC TJKLC, Tianjin 300071, People's Republic of China. Additional authors for this research include M. Dehmer and Y.T. Shi.

Keywords for this news article include: Asia, Tianjin, Information Technology, People's Republic of China

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Source: Information Technology Newsweekly

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