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package Algorithm::SocialNetwork; |
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1115
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use Spiffy -Base; |
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4853
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1
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8
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3
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1
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2364
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our $VERSION = '0.01_01'; |
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1
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2
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1
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24
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1
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19
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1
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1
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1
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428
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4
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5
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field graph => {}, |
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-init => 'Graph->new()'; |
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8
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### negative value doesn't make sense for Bc |
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### Un-normlized result. |
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0
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0
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0
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sub BetweenessCentrality { |
11
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0
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my @V = $self->graph->vertices; |
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0
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my %CB; @CB{@V}=map{0}@V; |
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0
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13
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0
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for my $s (@V) { |
14
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0
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my (@S,$P,%sigma,%d,@Q); |
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0
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$P->{$_} = [] for (@V); |
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0
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@sigma{@V} = map{0}@V; $sigma{$s} = 1; |
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0
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17
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@d{@V} = map{-1}@V; $d{$s} = 0; |
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0
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18
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0
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push @Q,$s; |
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0
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while(@Q) { |
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my $v = shift @Q; |
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0
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push @S,$v; |
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0
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for my $w ($self->graph->neighbors($v)) { |
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0
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0
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if($d{$w} < 0) { |
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0
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push @Q,$w; |
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0
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$d{$w} = $d{$v} + 1; |
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} |
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0
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0
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if($d{$w} == $d{$v} + 1) { |
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0
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$sigma{$w} += $sigma{$v}; |
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0
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push @{$P->{$w}},$v; |
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30
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} |
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} |
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} |
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0
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my %rho; $rho{$_} = 0 for(@V); |
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34
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0
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while(@S) { |
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0
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my $w = pop @S; |
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0
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for my $v (@{$P->{$w}}) { |
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0
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37
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0
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$rho{$v} += ($sigma{$v}/$sigma{$w})*(1+$rho{$w}); |
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} |
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0
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0
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$CB{$w} += $rho{$w} unless $w eq $s; |
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} |
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} |
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0
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return $CB{$_} for(@_); |
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0
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0
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return @_? @CB{@_} : \%CB; |
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} |
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46
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__END__ |