我想为边缘分配权重，使得（到达节点的权重）的总和与其自身的权重相加。
这是我尝试过的：
clear all;
close all;
clc;
%% building the graph
g=graph;
for k=1:6
add(g,k,k+1)
add(g,1,4)
add(g,5,7)
end
%%assigining the statuses 0 and 1
%label(g,1,'0');
%label(g,2,'1');
%label(g,3,'1');
%label(g,4,'1');
%label(g,5,'1');
%label(g,6,'0');
%label(g,7,'0');
figure,ldraw(g);
%x=rand(1,1);
%y=rand(1,1)
%% get line info from the figure
lineH = findobj(gca, 'type', 'line');
xData = cell2mat(get(lineH, 'xdata')); % get x-data
yData = cell2mat(get(lineH, 'ydata')); % get y-data
%% if an edge is between (x1,y1)<->(x2,y2), place a label at
%%the center of the line, i.e. (x1+x2)/2 (y1+y2)/2 etc
labelposx=mean(xData');
labelposy=mean(yData');
%% generate some random weights vectori.e. the probability matrix
weights=rand(1,1,length(labelposx))
% plot the weights on top of the figure
text(labelposx,labelposy,mat2cell(weights), 'HorizontalAlignment','center',...
'BackgroundColor',[.7 .9 .7]);
%%Transition matrix or markov matrix
% Transition=[0 (1,2) 0 (1,4) 0 0 0;
% (2,1) 0 (2,3) 0 0 0 0;
% 0 (3,2) 0 (3,4) 0 0 0;
% 0 0 (4,3) 0 (4,5) 0 0;
% 0 0 0 (5,4) 0 (5,6) (5,7);
% 0 0 0 0 (6,5) 0 (6,7);
% 0 0 0 0 (7,5) (7,6) 0];
Transition= [0 weights(:,:,8) 0 weights(:,:,6) 0 0 0;
weights(:,:,8) 0 weights(:,:,7) 0 0 0 0;
0 weights(:,:,7) 0 weights(:,:,5) 0 0 0;
weights(:,:,6) 0 weights(:,:,5) 0 weights(:,:,4) 0 0;
0 0 0 weights(:,:,4) 0 weights(:,:,3) weights(:,:,2);
0 0 0 0 weights(:,:,3) 0 weights(:,:,1);
0 0 0 0 weights(:,:,2) weights(:,:,1) 0]
%set_matrix
%%dij-- Probability matrix
sparse(Transition);
d=[weights(:,:,8);weights(:,:,7);weights(:,:,5);weights(:,:,4);
weights(:,:,3);weights(:,:,1);weights(:,:,1)]
%%Si[k]-- matrix of the statuses(labels)
%S=[0 1 1 1 1 0 0]
例如：节点四的权重相加，加上它自己的权重应该等于1