/******************
Network NetworkCopy
*****************/
Network *NetworkCopy(Network *dest, Network *src){
Vertex nnodes = dest->nnodes = src->nnodes;
dest->last_inedge = src->last_inedge;
dest->last_outedge = src->last_outedge;
dest->outdegree = (Vertex *) malloc((nnodes+1)*sizeof(Vertex));
memcpy(dest->outdegree, src->outdegree, (nnodes+1)*sizeof(Vertex));
dest->indegree = (Vertex *) malloc((nnodes+1)*sizeof(Vertex));
memcpy(dest->indegree, src->indegree, (nnodes+1)*sizeof(Vertex));
Vertex maxedges = dest->maxedges = src->maxedges;
dest->inedges = (TreeNode *) malloc(maxedges*sizeof(TreeNode));
memcpy(dest->inedges, src->inedges, maxedges*sizeof(TreeNode));
dest->outedges = (TreeNode *) malloc(maxedges*sizeof(TreeNode));
memcpy(dest->outedges, src->outedges, maxedges*sizeof(TreeNode));
int directed_flag = dest->directed_flag = src->directed_flag;
Vertex bipartite = dest->bipartite = src->bipartite;
if(src->duration_info.lasttoggle){
dest->duration_info.time=src->duration_info.time;
dest->duration_info.lasttoggle = (int *) calloc(DYADCOUNT(nnodes, bipartite, directed_flag), sizeof(int));
memcpy(dest->duration_info.lasttoggle, src->duration_info.lasttoggle,DYADCOUNT(nnodes, bipartite, directed_flag) * sizeof(int));
}
else dest->duration_info.lasttoggle = NULL;
dest->nedges = src->nedges;
return dest;
}
/********************
void MH_Formation
Propose ONLY edges not in the reference graph
***********************/
void MH_Formation (MHProposal *MHp, Network *nwp)
{
static Dyad ndyads;
if(MHp->ntoggles == 0) { /* Initialize */
MHp->ntoggles=1;
ndyads = DYADCOUNT(nwp->nnodes, 0, nwp->directed_flag);
return;
}
if(nwp->nedges==ndyads && MHp->discord[0]->nedges==0){ /* Attempting formation on a complete graph. */
Mtail[0]=MH_FAILED;
Mhead[0]=MH_IMPOSSIBLE;
return;
}
BD_LOOP({
/* A dyad eligible to be formed is either a nontie in nwp[0] or a tie in MHp->discord-> */
if(unif_rand() < ((double)MHp->discord[0]->nedges)/(ndyads-nwp->nedges + MHp->discord[0]->nedges)){
// Tie in MHp->discord[0]:
GetRandEdge(Mtail, Mhead, MHp->discord[0]);
}else{
// Nontie in nwp[0]:
GetRandNonedge(Mtail, Mhead, nwp);
}
});
void MH_FormationPlusMLE (MHproposal *MHp, Network *nwp)
{
static Vertex nnodes;
static Edge nedges0;
static Dyad ndyads;
if(MHp->ntoggles == 0) { /* Initialize */
MHp->ntoggles=1;
nnodes = nwp[0].nnodes;
ndyads = DYADCOUNT(nnodes, 0, nwp[0].directed_flag);
nedges0 = MHp->inputs[0];
return;
}
if(nedges0==ndyads){ /* Attempting formation on a complete graph. */
Mtail[0]=MH_FAILED;
Mhead[0]=MH_IMPOSSIBLE;
return;
}
BD_COND_LOOP({
/* Keep trying dyads until a one that is not an edge in the reference network is found. */
/* Generate. */
GetRandDyad(Mtail, Mhead, nwp);
}, !dEdgeListSearch(Mtail[0],Mhead[0],MHp->inputs), 2);
int GetRandNonedge(Vertex *tail, Vertex *head, Network *nwp) {
Edge ndyads = DYADCOUNT(nwp->nnodes, nwp->bipartite, nwp->directed_flag);
if(ndyads-nwp->nedges==0) return(0);
/* There are two ways to get a random nonedge: 1) keep trying dyads
at random until you find one that's not an edge or 2) generate i
at random and find ith nonedge. Method 1 works better in sparse
networks, while Method 2, which runs in deterministic time, works
better in dense networks.
The expected number of attempts for Method 1 is 1/(1-e/d) =
d/(d-e), where e is the number of edges and d is the number of
dyads.
*/
// FIXME: The constant maxEattempts needs to be tuned.
const unsigned int maxEattempts=10;
unsigned int Eattempts = ndyads/(ndyads-nwp->nedges);
Edge rane;
if(Eattempts>maxEattempts){
// If the network is too dense, use the deterministic-time method:
rane=1 + unif_rand() * (ndyads-nwp->nedges);
FindithNonedge(tail, head, rane, nwp);
}else{
do{
GetRandDyad(tail, head, nwp);
}while(EdgetreeSearch(*tail, *head, nwp->outedges));
}
return 1;
}
Network NetworkInitialize(Vertex *tails, Vertex *heads, Edge nedges,
Vertex nnodes, int directed_flag, Vertex bipartite,
int lasttoggle_flag, int time, int *lasttoggle) {
Network nw;
nw.last_inedge = nw.last_outedge = (Edge)nnodes;
/* Calloc will zero the allocated memory for us, probably a lot
faster. */
nw.outdegree = (Vertex *) calloc((nnodes+1),sizeof(Vertex));
nw.indegree = (Vertex *) calloc((nnodes+1),sizeof(Vertex));
nw.maxedges = MAX(nedges,1)+nnodes+2; /* Maybe larger than needed? */
nw.inedges = (TreeNode *) calloc(nw.maxedges,sizeof(TreeNode));
nw.outedges = (TreeNode *) calloc(nw.maxedges,sizeof(TreeNode));
/* GetRNGstate(); R function enabling uniform RNG */
if(lasttoggle_flag){
nw.duration_info.time=time;
nw.duration_info.lasttoggle = (int *) calloc(DYADCOUNT(nnodes, bipartite, directed_flag), sizeof(int));
if(lasttoggle)
memcpy(nw.duration_info.lasttoggle, lasttoggle, DYADCOUNT(nnodes, bipartite, directed_flag) * sizeof(int));
}
else nw.duration_info.lasttoggle = NULL;
/*Configure a Network*/
nw.nnodes = nnodes;
nw.nedges = 0; /* Edges will be added one by one */
nw.directed_flag=directed_flag;
nw.bipartite=bipartite;
ShuffleEdges(tails,heads,nedges); /* shuffle to avoid worst-case performance */
for(Edge i = 0; i < nedges; i++) {
Vertex tail=tails[i], head=heads[i];
if (!directed_flag && tail > head)
AddEdgeToTrees(head,tail,&nw); /* Undir edges always have tail < head */
else
AddEdgeToTrees(tail,head,&nw);
}
/* PutRNGstate(); */
return nw;
}
int FindithNonedge (Vertex *tail, Vertex *head, Edge i, Network *nwp) {
Vertex taili=1;
Edge e;
Edge ndyads = DYADCOUNT(nwp->nnodes, nwp->bipartite, nwp->directed_flag);
// If the index is too high or too low, exit immediately.
if (i > ndyads - nwp->nedges || i<=0)
return 0;
/* TODO: This could be speeded up by a factor of 3 or more by starting
the search from the tail n rather than tail 1 if i > ndyads/2. */
Vertex nnt;
while (i > (nnt = nwp->nnodes - (nwp->bipartite ? nwp->bipartite : (nwp->directed_flag?1:taili))
- nwp->outdegree[taili])) { // nnt is the number of nonties incident on taili. Note that when network is undirected, tail<head.
i -= nnt;
taili++;
}
// Now, our tail is taili.
/* TODO: This could be speeded up by a factor of 3 or more by starting
the search from the tree maximum rather than minimum (left over) i > outdegree[taili]. */
// If taili 1, then head cannot be 1. If undirected, the smallest it can be is taili+1. If bipartite, the smallest it can be is nwp->bipartite+1.
Vertex lhead = (
nwp->bipartite ?
nwp->bipartite :
(nwp->directed_flag ?
taili==1 : taili)
);
e = EdgetreeMinimum(nwp->outedges,taili);
Vertex rhead = nwp->outedges[e].value;
// Note that rhead-lhead-1-(lhead<taili && taili<rhead) is the number of nonties between two successive ties.
// the -(lhead<taili && taili<rhead) is because (taili,taili) is not a valid nontie and must be skipped.
// Note that if taili is an isolate, rhead will be 0.
while (rhead && i > rhead-lhead-1-(lhead<taili && taili<rhead)) {
i -= rhead-lhead-1-(lhead<taili && taili<rhead);
lhead = rhead;
e = EdgetreeSuccessor(nwp->outedges, e);
// If rhead was the highest-indexed head, then e is now 0.
if(e) rhead = nwp->outedges[e].value;
else break; // Note that we don't actually need rhead in the final step.
}
// Now, the head we are looking for is (left over) i after lhead.
*tail = taili;
*head = lhead + i + (nwp->directed_flag && lhead+i>=taili); // Skip over the (taili,taili) dyad, if the network is directed.
return 1;
}
/********************
void MH_BipartiteHammingTNT
Tie/no tie: Gives at least 50% chance of
proposing a toggle of an existing edge, as opposed
to simple random toggles that rarely do so in sparse
networks
MSH: The name Hamming is a hack for the Hamming proposals
It is no different the MH_BipartiteTNT
***********************/
void MH_BipartiteHammingTNT (MHproposal *MHp, Network *nwp)
{
/* *** don't forget, edges are (tail, head) now */
Vertex tail, head;
Edge nddyads=nwp[1].nedges;
int nd, nc;
static double comp=0.5;
static double odds;
static Dyad ndyads;
static Edge nnodes;
static Edge nb1;
if(MHp->ntoggles == 0) { /* Initialize */
MHp->ntoggles=1;
odds = comp/(1.0-comp);
nnodes = nwp[0].nnodes;
nb1 = nwp[0].bipartite;
ndyads = DYADCOUNT(nnodes, nb1, 0);
return;
}
if (unif_rand() < comp && nddyads > 0) { /* Select a discordant dyad at random */
GetRandEdge(Mtail, Mhead, &nwp[1]);
nd = nddyads;
nc = ndyads-nd;
/* Fixme! Not sure whether the ratio is calculated correctly here.
Check out the similar ratio calculations for other TNT proposals. */
MHp->logratio += log((nd*1.0) / (odds*(nc+1)));
/* MHp->ratio = (1.0*(nce-1)*(ncn-1)) / (nde*ndn*odds); */
/* MHp->ratio = 1.0; */
/* Rprintf("disconcord nd %d nc %d nddyads %d MHp->ratio %f\n", */
/* nd, nc, nddyads, MHp->ratio); */
}else{
/* select a concordant dyad at random */
do{
tail = 1 + unif_rand() * nb1;
head = 1 + nb1 + unif_rand() * (nnodes - nb1);
}while(EdgetreeSearch(tail,head,nwp[1].outedges)!=0);
Mtail[0]=tail;
Mhead[0]=head;
nd = nddyads;
nc = ndyads-nd;
/* Fixme! Not sure whether the ratio is calculated correctly here.
Check out the similar ratio calculations for other TNT proposals. */
MHp->logratio += log((odds*nc) / ((nd+1)*1.0));
/* Rprintf("concord nd %d nc %d nddyads %d MHp->ratio %f\n", */
/* nd, nc, nddyads, MHp->ratio); */
}
/* Rprintf("h0 %d t0 %d h1 %d t1 %d\n", Mtail[0], Mhead[0], */
/* Mtail[1], Mhead[1]); */
}
WtNetwork *WtNetworkInitialize(Vertex *tails, Vertex *heads, double *weights,
Edge nedges, Vertex nnodes, int directed_flag, Vertex bipartite,
int lasttoggle_flag, int time, int *lasttoggle) {
WtNetwork *nwp = Calloc(1, WtNetwork);
nwp->last_inedge = nwp->last_outedge = (Edge)nnodes;
/* Calloc will zero the allocated memory for us, probably a lot
faster. */
nwp->outdegree = (Vertex *) Calloc((nnodes+1), Vertex);
nwp->indegree = (Vertex *) Calloc((nnodes+1), Vertex);
nwp->maxedges = MAX(nedges,1)+nnodes+2; /* Maybe larger than needed? */
nwp->inedges = (WtTreeNode *) Calloc(nwp->maxedges, WtTreeNode);
nwp->outedges = (WtTreeNode *) Calloc(nwp->maxedges, WtTreeNode);
if(lasttoggle_flag){
nwp->duration_info.time=time;
if(lasttoggle){
nwp->duration_info.lasttoggle = (int *) Calloc(DYADCOUNT(nnodes, bipartite, directed_flag), int);
memcpy(nwp->duration_info.lasttoggle, lasttoggle, DYADCOUNT(nnodes, bipartite, directed_flag) * sizeof(int));
} else nwp->duration_info.lasttoggle = NULL;
}
void MCMCDynSArun_wrapper(// Observed network.
int *tails, int *heads, int *time, int *lasttoggle, int *n_edges,
int *n_nodes, int *dflag, int *bipartite,
// Formation terms and proposals.
int *F_nterms, char **F_funnames, char **F_sonames,
char **F_MHproposaltype, char **F_MHproposalpackage,
double *F_inputs,
// Dissolution terms and proposals.
int *D_nterms, char **D_funnames, char **D_sonames,
char **D_MHproposaltype, char **D_MHproposalpackage,
double *D_inputs,
// Parameter fittig.
double *eta0,
int *M_nterms, char **M_funnames, char **M_sonames, double *M_inputs,
double *init_dev,
int *runlength,
double *WinvGradient,
double *jitter, double *dejitter,
double *dev_guard,
double *par_guard,
// Degree bounds.
int *attribs, int *maxout, int *maxin, int *minout,
int *minin, int *condAllDegExact, int *attriblength,
// MCMC settings.
int *SA_burnin, int *SA_interval, int *min_MH_interval, int *max_MH_interval, double *MH_pval, double *MH_interval_add,
// Space for output.
int *maxedges, int *maxchanges,
int *newnetworktail, int *newnetworkhead,
double *opt_history,
// Verbosity.
int *fVerbose,
int *status){
Network nw[2];
Model *F_m, *D_m, *M_m;
MHproposal F_MH, D_MH;
if(*lasttoggle == 0) lasttoggle = NULL;
Vertex *difftime, *difftail, *diffhead;
difftime = (Vertex *) calloc(*maxchanges,sizeof(Vertex));
difftail = (Vertex *) calloc(*maxchanges,sizeof(Vertex));
diffhead = (Vertex *) calloc(*maxchanges,sizeof(Vertex));
memset(newnetworktail,0,*maxedges*sizeof(int));
memset(newnetworkhead,0,*maxedges*sizeof(int));
MCMCDyn_init_common(tails, heads, *time, lasttoggle, *n_edges,
*n_nodes, *dflag, *bipartite, nw,
*F_nterms, *F_funnames, *F_sonames, F_inputs, &F_m,
*D_nterms, *D_funnames, *D_sonames, D_inputs, &D_m,
*M_nterms, *M_funnames, *M_sonames, M_inputs, &M_m,
attribs, maxout, maxin, minout,
minin, *condAllDegExact, *attriblength,
*F_MHproposaltype, *F_MHproposalpackage, &F_MH,
*D_MHproposaltype, *D_MHproposalpackage, &D_MH,
*fVerbose);
*status = MCMCDynSArun(nw,
F_m, &F_MH,
D_m, &D_MH,
eta0, M_m,
init_dev,
*runlength,
WinvGradient, jitter, dejitter, dev_guard, par_guard,
*maxedges, *maxchanges,
difftime, difftail, diffhead,
opt_history,
*SA_burnin, *SA_interval, *min_MH_interval, *max_MH_interval, *MH_pval, *MH_interval_add,
*fVerbose);
/* record the final network to pass back to R */
if(*status==MCMCDyn_OK){
newnetworktail[0]=newnetworkhead[0]=EdgeTree2EdgeList(newnetworktail+1,newnetworkhead+1,nw,*maxedges);
*time = nw->duration_info.time;
if(nw->duration_info.lasttoggle)
memcpy(lasttoggle, nw->duration_info.lasttoggle, sizeof(int)*DYADCOUNT(*n_nodes, *bipartite, *dflag));
}
MCMCDyn_finish_common(nw, F_m, D_m, M_m, &F_MH, &D_MH);
free(difftime);
free(difftail);
free(diffhead);
}
/********************
void MH_BipartiteHammingConstantEdges
Chooses a pair of toggles - one a tie and one not.
MSH: The name Hamming is a hack for the Hamming proposals
It is no different the MH_BipartiteConstantEdges
***********************/
void MH_BipartiteHammingConstantEdges (MHproposal *MHp, Network *nwp)
{
/* *** don't forget, edges are (tail, head) now */
Vertex tail, head;
Edge nedges=nwp[0].nedges, nddyads=nwp[1].nedges;
int nde, ndn, nce, ncn;
static double comp=0.5;
static double odds;
static Dyad ndyads;
static Edge nnodes;
static Edge nb1;
if(MHp->ntoggles == 0) { /* Initialize */
MHp->ntoggles=2;
odds = comp/(1.0-comp);
nnodes = nwp[0].nnodes;
nb1 = nwp[0].bipartite;
ndyads = DYADCOUNT(nnodes, nb1, 0);
return;
}
if (unif_rand() < comp && nddyads > 0) { /* Select a discordant pair of tie/nontie at random */
/* First, select discord edge at random */
do{
GetRandEdge(Mtail, Mhead, &nwp[1]);
}while(EdgetreeSearch(Mtail[0], Mhead[0], nwp[0].outedges) == 0);
tail=Mtail[0];
head=Mhead[0];
/* Next, select discord non-edge at random */
/* *** don't forget, edges are (tail, head) now */
do{
GetRandEdge(Mtail, Mhead, &nwp[1]);
}while(EdgetreeSearch(Mtail[0], Mhead[0], nwp[0].outedges) != 0);
Mtail[1]=Mtail[0];
Mhead[1]=Mhead[0];
Mtail[0]=tail;
Mhead[0]=head;
nde = nddyads / 2;
ndn = nddyads / 2;
nce = nedges-nde;
ncn = ndyads-nedges-ndn;
/* MHp->ratio = (nddyads*nddyads) / (odds*(nnodes-nddyads-2)*(nnodes-nddyads-2)); */
MHp->logratio += log((nde*ndn*1.0) / (odds*(nce+1)*(ncn+1)));
/* MHp->ratio = (1.0*(nce-1)*(ncn-1)) / (nde*ndn*odds); */
/* MHp->ratio = 1.0; */
/* Rprintf("disconcord nde %d nce %d ndn %d ncn %d nddyads %d MHp->ratio %f\n", */
/* nde, nce, ndn,ncn,nddyads, MHp->ratio); */
}else{
/* First, select concordant edge at random */
do{
GetRandEdge(Mtail, Mhead, &nwp[0]);
}while(EdgetreeSearch(Mtail[0], Mhead[0], nwp[1].outedges) == 0);
/* Next, select concord non-edge at random */
do{
tail = 1 + unif_rand() * nb1;
head = 1 + nb1 + unif_rand() * (nnodes - nb1);
}while((EdgetreeSearch(tail,head,nwp[0].outedges)!=0) ||
(EdgetreeSearch(tail,head,nwp[1].outedges)!=0));
Mtail[1]=tail;
Mhead[1]=head;
nde = nddyads / 2;
ndn = nddyads / 2;
nce = nedges-nde;
ncn = ndyads-nedges-ndn;
/* MHp->ratio = ((nnodes-nddyads)*(nnodes-nddyads)) / (odds*(nddyads+2)*(nddyads+2)); */
if(nddyads > 4){
MHp->logratio += log((odds*nce*ncn) / ((nde+1)*(ndn+1)*1.0));
/* MHp->ratio = ((nde+1)*(ndn+1)*odds) / (1.0*nce*ncn); */
}else{
MHp->logratio += 100000000.0;
}
/* Rprintf("concord nde %d nce %d ndn %d ncn %d nddyads %d MHp->ratio %f\n", */
/* nde, nce, ndn,ncn,nddyads, MHp->ratio); */
}
/* Rprintf("h0 %d t0 %d h1 %d t1 %d\n", Mtail[0], Mhead[0], */
/* Mtail[1], Mhead[1]); */
}
