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Copy pathnwbetween.ado
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executable file
·164 lines (138 loc) · 3.54 KB
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*! Date : 19sept2014
*! Version : 1.0
*! Author : Thomas Grund, Linköping University
*! Email : contact@nwcommands.org
/////////////////////////////////
//
// Algorithm from Brandes (2001), Journal of Mathematical Sociology
// Implementation builds on Mata code from Modesto Escobar, 2014
//
/////////////////////////////////
capture program drop nwbetween
program nwbetween
syntax [anything(name=netname)], [GENerate(string) nosym standardize outputoff]
_nwsyntax `netname', max(9999)
_nwsetobs
if `networks' > 1 {
local k = 1
}
local generate_all ""
foreach netname_temp in `netname' {
nwtomata `netname_temp', mat(betweennet)
if "`sym'" != "" {
mata: betweennet = betweennet :+ betweennet'
}
if "`sym'" == "" {
mata: betweennet = betweennet :/ betweennet
mata: _editmissing(betweennet, 0)
}
mata: C = between(betweennet)
if "`sym'" != "" {
mata: C = C:/2
}
if "`generate'" == "" {
local generate "_between"
}
if "`outputoff'" == "" {
local generate_all "`generate_all' `generate'`k'"
capture drop `generate'`k'
nwtostata, mat(C) gen(`generate'`k')
mata: mata drop betweennet
qui nwname `netname_temp'
if "`standardize'" != "" {
if "`r(directed)'" == "true" {
qui replace `generate'`k' = `generate'`k' / ((`nodes' - 1) * (`nodes' - 2))
}
else {
qui replace `generate'`k' = `generate'`k' / ((`nodes' - 1) * (`nodes' - 2) / 2)
}
}
}
local k = `k' + 1
}
mata: st_rclear()
di "{hline 40}"
di "{txt} Network name: {res}`netname'"
di "{hline 40}"
di "{txt} Betweenness centrality"
if "`standardize'" != "" {
di "{txt} (standardized)"
}
if "`outputoff'" == "" {
sum `generate_all'
}
mata: st_numscalar("r(bw_central)", sum(J(`nodes',1,max(C)) :- C) / ((`nodes' - 2) * (`nodes' - 1) * (`nodes' - 1)))
mata: mata drop C
end
/////////////////////////////////
//
// Algorithm from Brandes (2001), Journal of Mathematical Sociology
// Implementation builds on Mata code from Modesto Escobar, 2014
//
/////////////////////////////////
capture mata: mata drop between()
capture mata: mata drop dequeue()
mata:
real scalar function dequeue(real vector Queue)
{
qvalue=Queue[1]
for (q=1; q<cols(Queue); q++) {
Queue[q]=Queue[q+1]
}
if(cols(Queue)==1) {
Queue=J(1,0,.)
}
else {
Queue=Queue[1..cols(Queue)-1]
}
return(qvalue)
}
real vector between(real matrix net){
adjacencyList=J(rows(net),rows(net)-1,.)
for (m=1; m<=rows(net); m++) {
k=1
for (n=1; n<=rows(net); n++) {
if ( m!=n & net[m,n]>0) adjacencyList[m,k++]=n
}
}
Cb=J(1,rows(net),0)
for(s=1; s<=rows(net); s++) {
Stack=J(1,0,.)
P=J(rows(net),rows(net),.)
nP=J(rows(net),1,1)
S=J(1,rows(net),0)
S[s]=1
D=J(1,rows(net),-1)
D[s]=0
Queue=J(1,0,.)
Queue=(cols(Queue)? Queue,s : s)
while(cols(Queue)) {
v=dequeue(Queue)
Stack=cols(Stack)? v,Stack : v
for(j=1; j<=sum(adjacencyList[v,.]:<.);j++) {
w=adjacencyList[v,j]
if(D[w]<0) {
Queue=(cols(Queue)? Queue,w : w)
D[w]=D[v]+1
}
if(D[w]==D[v]+1) {
S[w]=S[w]+S[v]
P[w,nP[w]]=v; nP[w]=nP[w]+1
}
}
}
Dd=J(1,rows(net),0)
while (cols(Stack)) {
w=dequeue(Stack)
for(j=1; j<nP[w]; j++) {
v=P[w,j]
Dd[v]=Dd[v]+(S[v]/S[w])*(1+Dd[w])
}
if (w!=s) Cb[w]=Cb[w]+Dd[w]
}
}
return(Cb')
}
end
*! v1.5.0 __ 17 Sep 2015 __ 13:09:53
*! v1.5.1 __ 17 Sep 2015 __ 14:54:23