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% function y = drawnet(node,opt)
% draws a graph of the node network
% opt = 0 draws all nodes in a circle (default if no option stated)
% opt = 1 draws nodes at radius proportional to degree
% opt = 2 draw circle of nodes with color according to node.value
% See also:
% DynamicDrawnet.m
% drawnetC.m
function drawnet(node,opt)
if nargin < 2
opt = 0;
end
[dum,N] = size(node);
% if opt == 2
% mx = node(1).value;
% for loop = 2:N
% if node(loop).value > mx
% mx = node(loop).value;
% end
% end
% mn = node(1).value;
% for loop = 2:N
% if node(loop).value < mn
% mn = node(loop).value;
% end
% end
% end
h = colormap(jet);
%h = newcolormap('heated');
fh = gcf;
clf;
%figure(fh)
if opt~=2
[N,e,avgdegree,maxdegree,mindegree,numclus,meanclus,Lmax,L2,LmaxL2,meandistance] = clusterstats(node);
disp(' ')
displine('Number of nodes = ',N)
disp(strcat('Number of edges = ',num2str(e)))
disp(strcat('Mean degree = ',num2str(avgdegree)))
displine('Maximum degree = ',maxdegree)
disp(strcat('Number of clusters = ',num2str(numclus)))
disp(strcat('mean cluster coefficient = ',num2str(meanclus)))
disp(strcat('mean distance = ',num2str(meandistance)))
disp(' ')
disp(strcat('Lmax = ',num2str(Lmax)))
disp(strcat('L2 = ',num2str(L2)))
disp(strcat('Lmax/L2 = ',num2str(LmaxL2)))
disp(' ')
end
if (opt == 0)||(opt == 2) % Circle of nodes
[A,degree,Lap] = adjacency(node);
[N,e,avgdegree,maxdegree,mindegree,numclus,meanclus,Lmax,L2,LmaxL2] = clusterstats(node);
deltheta = 2*pi/N;
% Draw nodes
for loop = 1:N
theta = deltheta*loop;
rad = N;
x(loop) = rad*cos(theta);
y(loop) = rad*sin(theta);
if opt == 2
colorval = ceil(230*maskbilevel(node(loop).value,0,1,0,1)) + 1;
else
colorval = ceil(rand*255);
end
crad = pi/1.5;
rectangle('Position',[x(loop)-crad,y(loop)-crad,2*crad,2*crad],...
'Curvature',[1,1],...
'LineWidth',0.1,'LineStyle','-','FaceColor',h(colorval,:))
end
% Draw links
ind = 0;
for nloop = 1:N
nlink = node(nloop).numlink;
deg = degree(nloop);
for linkloop = 1:nlink
target = node(nloop).link(linkloop);
looptarget = target;
if deg == maxdegree
maxnode(ind+1) = node(nloop).element;
end
line([x(nloop) x(looptarget)],[y(nloop) y(looptarget)],'Color', 'b');
end
end
axis equal
end % end if opt == 0
if opt == 1 % Radius proportional to degree
% Similarity matrix
for rowloop = 1:N
for coloop = rowloop+1:N
a = node(rowloop).link;
b = node(coloop).link;
c = intersect(a,b);
[dum,szc] = size(c);
D(rowloop,coloop) = szc;
D(coloop,rowloop) = szc;
end
end
[newDis,finallabel] = hierarchcluster(D);
[A,degree,Lap] = adjacency(node);
[N,e,avgdegree,maxdegree,mindegree,numclus,meanclus,Lmax,L2,LmaxL2] = clusterstats(node);
maxrad = 1.2*2*N/(mindegree+2);
%circle(0,0,maxrad);
% Draw Nodes
deltheta = 2*pi/N;
for loop = 1:N
nodelabel(loop) = finallabel(loop);
looplabel(nodelabel(loop)) = loop;
rad = 2*N/(node(nodelabel(loop)).numlink+2);
theta = deltheta*loop;
x(loop) = rad*cos(theta);
y(loop) = rad*sin(theta);
colorval = ceil(rand*255);
rectangle('Position',[x(loop)-1,y(loop)-1,2,2],...
'Curvature',[1,1],...
'LineWidth',0.1,'LineStyle','-','FaceColor',h(colorval,:))
%pause(0.5)
end
% Draw Links
for nloop = 1:N
nlink = node(nodelabel(nloop)).numlink;
deg = degree(nodelabel(nloop));
for linkloop = 1:nlink
target = node(nodelabel(nloop)).link(linkloop);
looptarget = looplabel(target);
if deg == maxdegree
line([x(nloop) x(looptarget)],[y(nloop) y(looptarget)],'Color','r');
%nlink
else
line([x(nloop) x(looptarget)],[y(nloop) y(looptarget)],'Color', 'b');
end
end
end
for loop = 1:N
theta = deltheta*loop;
colorval = ceil(rand*255);
rectangle('Position',[x(loop)-1,y(loop)-1,2,2],...
'Curvature',[1,1],...
'LineWidth',0.1,'LineStyle','-','FaceColor',h(colorval,:))
end
end % if opt == 1