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10.1186/s40064-016-3271-5 http://scihub22266oqcxt.onion/10.1186/s40064-016-3271-5 C5023656!5023656!27652136     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Springerplus 2016 ; 5 (1): ä Nephropedia Template TP {{tp|p=27652136|t=2016. Distance-based topological polynomials and indices of friendship graphs |pdf=|usr=}}{{27652136}} gab.com Text Distance-based topological polynomials and indices of friendship graphs JO: Springerplus http://www.kidney.de/pget.php?&tw=1&pmid=27652136 #FOAvip Drugs and chemical compounds are often modeled as graphs in which the each vertex of the graph expresses an atom of molecule and covalent bounds between atoms are represented by the edges between their corresponding vertices. The topological indicators defined over this molecular graph have been shown to be strongly correlated to various chemical properties of the compounds. In this article, by means of graph structure analysis, we determine several distance based topological indices of friendship graph \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ F_{3}^{(n)} $$\end{document}F3(n) which is widely appeared in various classes of new nanomaterials, drugs and chemical compounds. Twit Text FOAVip Distance-based topological polynomials and indices of friendship graphs ????Springerplus http://www.kidney.de/pget.php?&tw=1&pmid=27652136 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27652136 #FOAvip English Wikipedia <ref>{{Cite pmid|27652136}}</ref> Distance-based topological polynomials and indices of friendship graphs #MMPMID27652136 Gao W; Farahani MR; Imran M; Rajesh Kanna MR Springerplus 2016[]; 5 (1): ä PMID27652136show ga Drugs and chemical compounds are often modeled as graphs in which the each vertex of the graph expresses an atom of molecule and covalent bounds between atoms are represented by the edges between their corresponding vertices. The topological indicators defined over this molecular graph have been shown to be strongly correlated to various chemical properties of the compounds. In this article, by means of graph structure analysis, we determine several distance based topological indices of friendship graph \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ F_{3}^{(n)} $$\end{document}F3(n) which is widely appeared in various classes of new nanomaterials, drugs and chemical compounds. äDistance-based topological polynomials and indices of friendship graph(epmc).pdf DeepDyve Pubget Overpricing