New Polynomial-Based Molecular Descriptors with Low Degeneracy
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{"title"=>"New polynomial-based molecular descriptors with low degeneracy", "type"=>"journal", "authors"=>[{"first_name"=>"Matthias", "last_name"=>"Dehmer", "scopus_author_id"=>"13404645900"}, {"first_name"=>"Laurin A J", "last_name"=>"Mueller", "scopus_author_id"=>"36608798900"}, {"first_name"=>"Armin", "last_name"=>"Graber", "scopus_author_id"=>"35748311000"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"359358306", "sgr"=>"77955618668", "pmid"=>"20689599", "scopus"=>"2-s2.0-77955618668", "doi"=>"10.1371/journal.pone.0011393", "issn"=>"19326203"}, "id"=>"8ba57ebf-e343-3298-b53e-552c09887161", "abstract"=>"In this paper, we introduce a novel graph polynomial called the 'information polynomial' of a graph. This graph polynomial can be derived by using a probability distribution of the vertex set. By using the zeros of the obtained polynomial, we additionally define some novel spectral descriptors. Compared with those based on computing the ordinary characteristic polynomial of a graph, we perform a numerical study using real chemical databases. We obtain that the novel descriptors do have a high discrimination power.", "link"=>"http://www.mendeley.com/research/new-polynomialbased-molecular-descriptors-low-degeneracy", "reader_count"=>8, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>1, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>1, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>2, "Business, Management and Accounting"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>0}

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Relative Metric

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