/////////////////////////////////////////////////
// Trawling the web for emerging communities
// graph, left points to right
TTrawling::TTrawling(const PNGraph& Graph, const int& MinSupport) : MinSup(MinSupport) {
TIntH ItemCntH;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
IAssert(NI.GetOutDeg()==0 || NI.GetInDeg()==0); // edges only point from left to right
if (NI.GetOutDeg()==0) { continue; }
for (int e = 0; e < NI.GetOutDeg(); e++) {
ItemCntH.AddDat(NI.GetOutNId(e)) += 1;
}
}
TIntV RightV;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
IAssert(NI.GetOutDeg()==0 || NI.GetInDeg()==0); // edges only point from left to right
if (NI.GetOutDeg()==0) { continue; }
RightV.Clr(false);
for (int e = 0; e < NI.GetOutDeg(); e++) {
const int itm = NI.GetOutNId(e);
// only include items that already are above minimum support
if (ItemCntH.GetDat(itm) >= MinSup) {
RightV.Add(itm); }
}
if (! RightV.Empty()) {
NIdSetH.AddDat(NI.GetId(), RightV);
}
}
//
for (int n = 0; n < NIdSetH.Len(); n++) {
const TIntV& Set = NIdSetH[n];
for (int s = 0; s < Set.Len(); s++) {
SetNIdH.AddDat(Set[s]).Add(n);
}
}
}
void OnlyD3CEdgesNoBack(PNGraph& dir_graph, PNGraph& d3c_graph) {
// Add all of the nodes into the new graph
for (TNGraph::TNodeI node = dir_graph->BegNI(); node < dir_graph->EndNI();
node++) {
int curr_node = node.GetId();
d3c_graph->AddNode(curr_node);
}
for (TNGraph::TNodeI node = dir_graph->BegNI(); node < dir_graph->EndNI();
node++) {
int curr_node = node.GetId();
auto curr_node_it = dir_graph->GetNI(curr_node);
for (int out_edge = 0; out_edge < curr_node_it.GetOutDeg(); ++out_edge) {
int out_node = curr_node_it.GetOutNId(out_edge);
for (int in_edge = 0; in_edge < curr_node_it.GetInDeg(); ++in_edge) {
int in_node = curr_node_it.GetInNId(in_edge);
if (dir_graph->IsEdge(out_node, in_node) && out_node != in_node) {
if (!d3c_graph->IsEdge(in_node, out_node) &&
!d3c_graph->IsEdge(curr_node, in_node) &&
!d3c_graph->IsEdge(out_node, curr_node)) {
if (!d3c_graph->IsEdge(out_node, in_node)) { d3c_graph->AddEdge(out_node, in_node); }
if (!d3c_graph->IsEdge(in_node, curr_node)) { d3c_graph->AddEdge(in_node, curr_node); }
if (!d3c_graph->IsEdge(curr_node, out_node)) { d3c_graph->AddEdge(curr_node, out_node); }
}
}
}
}
}
}
void OnlyD3CEdges(PNGraph& dir_graph, PNGraph& d3c_graph, bool recip_edges) {
// Add all of the nodes into the new graph
for (TNGraph::TNodeI node = dir_graph->BegNI(); node < dir_graph->EndNI();
node++) {
int curr_node = node.GetId();
d3c_graph->AddNode(curr_node);
}
for (TNGraph::TNodeI node = dir_graph->BegNI(); node < dir_graph->EndNI();
node++) {
int curr_node = node.GetId();
auto curr_node_it = dir_graph->GetNI(curr_node);
for (int out_edge = 0; out_edge < curr_node_it.GetOutDeg(); ++out_edge) {
int out_node = curr_node_it.GetOutNId(out_edge);
for (int in_edge = 0; in_edge < curr_node_it.GetInDeg(); ++in_edge) {
int in_node = curr_node_it.GetInNId(in_edge);
if (out_node == in_node && !recip_edges) { continue; }
if (dir_graph->IsEdge(out_node, in_node) || recip_edges) {
if (!d3c_graph->IsEdge(out_node, in_node)) {
d3c_graph->AddEdge(out_node, in_node);
}
if (!d3c_graph->IsEdge(in_node, curr_node)) {
d3c_graph->AddEdge(in_node, curr_node);
}
if (!d3c_graph->IsEdge(curr_node, out_node)) {
d3c_graph->AddEdge(curr_node, out_node);
}
}
}
}
}
#ifdef _VERBOSE_
std::cout << "Original graph edge count: " << dir_graph->GetEdges() << std::endl
<< "D3C graph edge count: " << d3c_graph->GetEdges() << std::endl;
#endif
}
void GetSngVec(const PNGraph& Graph, TFltV& LeftSV, TFltV& RightSV) {
const int Nodes = Graph->GetNodes();
TFltVV LSingV, RSingV;
TFltV SngValV;
if (Nodes < 500) {
// perform full SVD
TFltVV AdjMtx(Nodes+1, Nodes+1);
TIntH NodeIdH;
// create adjecency matrix
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
NodeIdH.AddKey(NodeI.GetId()); }
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
const int NodeId = NodeIdH.GetKeyId(NodeI.GetId()) + 1;
for (int e = 0; e < NodeI.GetOutDeg(); e++) {
const int DstNId = NodeIdH.GetKeyId(NodeI.GetOutNId(e)) + 1; // no self edges
if (NodeId != DstNId) AdjMtx.At(NodeId, DstNId) = 1;
}
}
try { // can fail to converge but results seem to be good
TSvd::Svd1Based(AdjMtx, LSingV, SngValV, RSingV); }
catch(...) {
printf("\n***No SVD convergence: G(%d, %d)\n", Nodes, Graph->GetEdges()); }
} else { // Lanczos
TNGraphMtx GraphMtx(Graph);
TSparseSVD::LanczosSVD(GraphMtx, 1, 8, ssotFull, SngValV, LSingV, RSingV);
}
TFlt MxSngVal = TFlt::Mn;
int ValN = 0;
for (int i = 0; i < SngValV.Len(); i++) {
if (MxSngVal < SngValV[i]) { MxSngVal = SngValV[i]; ValN = i; } }
LSingV.GetCol(ValN, LeftSV);
RSingV.GetCol(ValN, RightSV);
IsAllValVNeg(LeftSV, true);
IsAllValVNeg(RightSV, true);
}
double DirectedModularity(PNGraph& graph, std::vector<int>& communities) {
if (graph->GetNodes() != communities.size()) {
throw std::logic_error("Number of nodes does not match community size.");
}
int num_edges = graph->GetEdges();
double score = 0.0;
int num_unique = 10;
std::map<int, double> outdeg_sums;
std::map<int, double> indeg_sums;
for (TNGraph::TNodeI node = graph->BegNI(); node < graph->EndNI(); node++) {
int comm = communities[node.GetId()];
outdeg_sums[comm] += node.GetOutDeg();
indeg_sums[comm] += node.GetInDeg();
}
for (auto& kv : outdeg_sums) {
score -= (kv.second / num_edges) * indeg_sums[kv.first];
}
for (TNGraph::TNodeI node = graph->BegNI(); node < graph->EndNI(); node++) {
int node_ID = node.GetId();
for (int e = 0; e < node.GetOutDeg(); ++e) {
int nbr = node.GetOutNId(e);
if (communities[node_ID] == communities[nbr]) {
score += 1.0;
}
}
}
return score / num_edges;
}
//GraphSON Node Formatting
std::string GraphSONNodes(const PNGraph & graph){
std::string nodes;
for (PNGraph::TObj::TNodeI NI = graph->BegNI(); NI < graph->EndNI(); ) {
nodes.append("{ \"id\": \"");
nodes.append(Helper::intToString(NI.GetId()));
nodes.append("\" }");
if (NI++ == graph->EndNI())
nodes.append(" ],\n");
else
nodes.append(",\n");
}
return nodes;
}
void TGraphKey::TakeSig(const PNGraph& Graph, const int& MnSvdGraph, const int& MxSvdGraph) {
const int Edges = Graph->GetEdges();
Nodes = Graph->GetNodes();
VariantId = 0;
SigV.Gen(2+Nodes, 0);
// degree sequence
TIntPrV DegV(Nodes, 0);
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
DegV.Add(TIntPr(NodeI.GetInDeg(), NodeI.GetOutDeg()));
}
DegV.Sort(false);
SigV.Add(TFlt(Nodes));
SigV.Add(TFlt(Edges));
for (int i = 0; i < DegV.Len(); i++) {
SigV.Add(DegV[i].Val1());
SigV.Add(DegV[i].Val2());
}
// singular values signature
// it turns out that it is cheaper to do brute force isomorphism
// checking than to calculate SVD and then check isomorphism
if (Nodes >= MnSvdGraph && Nodes < MxSvdGraph) {
// perform full SVD
TFltVV AdjMtx(Nodes+1, Nodes+1);
TFltV SngValV;
TFltVV LSingV, RSingV;
TIntH NodeIdH;
// create adjecency matrix
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
NodeIdH.AddKey(NodeI.GetId());
}
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
const int NodeId = NodeIdH.GetKeyId(NodeI.GetId()) + 1;
for (int e = 0; e < NodeI.GetOutDeg(); e++) {
const int DstNId = NodeIdH.GetKeyId(NodeI.GetOutNId(e)) + 1; // no self edges
if (NodeId != DstNId) AdjMtx.At(NodeId, DstNId) = 1;
}
}
try { // can fail to converge but results seem to be good
TSvd::Svd(AdjMtx, LSingV, SngValV, RSingV);
} catch(...) {
printf("\n***No SVD convergence: G(%d, %d): SngValV.Len():%d\n", Nodes(), Graph->GetEdges(), SngValV.Len());
}
// round singular values
SngValV.Sort(false);
for (int i = 0; i < SngValV.Len(); i++) {
SigV.Add(TMath::Round(SngValV[i], RoundTo));
}
}
//printf("SIG:\n"); for (int i = 0; i < SigV.Len(); i++) { printf("\t%f\n", SigV[i]); }
SigV.Pack();
}
void GetSngVals(const PNGraph& Graph, const int& SngVals, TFltV& SngValV) {
const int Nodes = Graph->GetNodes();
IAssert(SngVals > 0);
if (Nodes < 100) {
// perform full SVD
TFltVV AdjMtx(Nodes+1, Nodes+1);
TFltVV LSingV, RSingV;
TIntH NodeIdH;
// create adjecency matrix
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
NodeIdH.AddKey(NodeI.GetId()); }
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
const int NodeId = NodeIdH.GetKeyId(NodeI.GetId()) + 1;
for (int e = 0; e < NodeI.GetOutDeg(); e++) {
const int DstNId = NodeIdH.GetKeyId(NodeI.GetOutNId(e)) + 1; // no self edges
if (NodeId != DstNId) AdjMtx.At(NodeId, DstNId) = 1;
}
}
try { // can fail to converge but results seem to be good
TSvd::Svd1Based(AdjMtx, LSingV, SngValV, RSingV); }
catch(...) {
printf("\n***No SVD convergence: G(%d, %d)\n", Nodes, Graph->GetEdges()); }
} else {
// Lanczos
TNGraphMtx GraphMtx(Graph);
int CalcVals = int(2*SngVals);
//if (CalcVals > Nodes) { CalcVals = int(2*Nodes); }
//if (CalcVals > Nodes) { CalcVals = Nodes; }
//while (SngValV.Len() < SngVals && CalcVals < 10*SngVals) {
try {
if (SngVals > 4) {
TSparseSVD::SimpleLanczosSVD(GraphMtx, 2*SngVals, SngValV, false); }
else { TFltVV LSingV, RSingV; // this is much more precise, but also much slower
TSparseSVD::LanczosSVD(GraphMtx, SngVals, 3*SngVals, ssotFull, SngValV, LSingV, RSingV); }
}
catch(...) {
printf("\n ***EXCEPTION: TRIED %d GOT %d values** \n", 2*SngVals, SngValV.Len()); }
if (SngValV.Len() < SngVals) {
printf(" ***TRIED %d GOT %d values** \n", CalcVals, SngValV.Len()); }
// CalcVals += SngVals;
//}
}
SngValV.Sort(false);
//if (SngValV.Len() > SngVals) {
// SngValV.Del(SngVals, SngValV.Len()-1); }
//else {
// while (SngValV.Len() < SngVals) SngValV.Add(1e-6); }
//IAssert(SngValV.Len() == SngVals);
}
// renumbers nodes
void TGraphKey::TakeGraph(const PNGraph& Graph) {
TIntH NodeIdH;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
NodeIdH.AddKey(NI.GetId()); }
Nodes = Graph->GetNodes();
EdgeV.Gen(Nodes, 0);
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
const int NewNId = NodeIdH.GetKeyId(NI.GetId());
for (int i = 0; i < NI.GetOutDeg(); i++) {
EdgeV.Add(TIntPr(NewNId, NodeIdH.GetKeyId(NI.GetOutNId(i))));
}
}
EdgeV.Sort(true);
EdgeV.Pack();
}
// Save directed, undirected and multi-graphs in GraphVizp .DOT format
void IOGViz() {
const int NNodes = 500;
const int NEdges = 2000;
const char *FName1 = "demo1.dot.dat", *FName2 = "demo2.dot.dat";
const char *Desc = "Randomly generated GgraphVizp for input/output.";
PNGraph GOut; // Can be PNEGraph or PUNGraph
GOut = GenRndGnm<PNGraph>(NNodes, NEdges);
SaveGViz(GOut, FName1);
// Output node IDs as numbers
TIntStrH NIdLabelH;
// Generate labels for random graph
for (TNGraph::TNodeI NI = GOut->BegNI(); NI < GOut->EndNI(); NI++) {
NIdLabelH.AddDat(NI.GetId(), TStr::Fmt("Node%d", NI.GetId()));
}
SaveGViz(GOut, FName2, Desc, NIdLabelH);
PrintGStats("IOGViz - In", GOut);
}
//GDF Node Formatting
std::string GDFNodes(const PNGraph & graph){
std::string nodes;
for (PNGraph::TObj::TNodeI NI = graph->BegNI(); NI < graph->EndNI(); NI++){
nodes.append(Helper::intToString(NI.GetId()));
nodes.append("\n");
}
return nodes;
}
void GetSngVec(const PNGraph& Graph, const int& SngVecs, TFltV& SngValV, TVec<TFltV>& LeftSV, TVec<TFltV>& RightSV) {
const int Nodes = Graph->GetNodes();
SngValV.Clr();
LeftSV.Clr();
RightSV.Clr();
TFltVV LSingV, RSingV;
if (Nodes < 100) {
// perform full SVD
TFltVV AdjMtx(Nodes+1, Nodes+1);
TIntH NodeIdH;
// create adjecency matrix (1-based)
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
NodeIdH.AddKey(NodeI.GetId()); }
for (TNGraph::TNodeI NodeI = Graph->BegNI(); NodeI < Graph->EndNI(); NodeI++) {
const int NodeId = NodeIdH.GetKeyId(NodeI.GetId())+1;
for (int e = 0; e < NodeI.GetOutDeg(); e++) {
const int DstNId = NodeIdH.GetKeyId(NodeI.GetOutNId(e))+1; // no self edges
if (NodeId != DstNId) AdjMtx.At(NodeId, DstNId) = 1;
}
}
try { // can fail to converge but results seem to be good
TSvd::Svd1Based(AdjMtx, LSingV, SngValV, RSingV);
} catch(...) {
printf("\n***No SVD convergence: G(%d, %d)\n", Nodes, Graph->GetEdges());
}
} else { // Lanczos
TNGraphMtx GraphMtx(Graph);
TSparseSVD::LanczosSVD(GraphMtx, SngVecs, 2*SngVecs, ssotFull, SngValV, LSingV, RSingV);
//TGAlg::SaveFullMtx(Graph, "adj_mtx.txt");
//TLAMisc::DumpTFltVVMjrSubMtrx(LSingV, LSingV.GetRows(), LSingV.GetCols(), "LSingV2.txt"); // save MTX
}
TFltIntPrV SngValIdV;
for (int i = 0; i < SngValV.Len(); i++) {
SngValIdV.Add(TFltIntPr(SngValV[i], i));
}
SngValIdV.Sort(false);
SngValV.Sort(false);
for (int v = 0; v < SngValIdV.Len(); v++) {
LeftSV.Add();
LSingV.GetCol(SngValIdV[v].Val2, LeftSV.Last());
RightSV.Add();
RSingV.GetCol(SngValIdV[v].Val2, RightSV.Last());
}
IsAllValVNeg(LeftSV[0], true);
IsAllValVNeg(RightSV[0], true);
}
/////////////////////////////////////////////////
// TGraphEnumUtils implementation
void TGraphEnumUtils::GetNormalizedMap(const PNGraph &G, THash<TInt,TInt> &map) {
int nId=0;
for(TNGraph::TNodeI it=G->BegNI(); it<G->EndNI(); it++) {
//printf("%d -> %d\n", it.GetId(), nId);
map.AddDat(it.GetId(), nId);
nId++;
}
}
void UndirCopy(PNGraph& dir_graph, PUNGraph& undir_graph) {
// Add all of the nodes into the new graph
for (TNGraph::TNodeI node = dir_graph->BegNI(); node < dir_graph->EndNI();
node++) {
int curr_node = node.GetId();
undir_graph->AddNode(curr_node);
}
for (TNGraph::TNodeI node = dir_graph->BegNI(); node < dir_graph->EndNI();
node++) {
int curr_node = node.GetId();
for (int e = 0; e < node.GetOutDeg(); ++e) {
int nbr_node = node.GetOutNId(e);
if (!undir_graph->IsEdge(curr_node, nbr_node)) {
undir_graph->AddEdge(curr_node, nbr_node);
}
}
}
}
void gdf(PNGraph Graph){
std::ofstream graph;
graph.open("graph.gdf");
graph << "nodedef>name VARCHAR\n";
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++)
graph << NI.GetId() << ",\n";
graph << "edgedef>node1 VARCHAR,node2 VARCHAR\n";
for (TNGraph::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++)
graph << EI.GetSrcNId() << "," << EI.GetDstNId() << "\n";
graph.close();
}
void analyzeSimNetProps(TStr messGraph, TStr netGraph) {
// Make graphs
PNGraph eGraph = TSnap::LoadEdgeListStr<PNGraph>(netGraph, 0, 1);
PNGraph mGraph = TSnap::LoadEdgeListStr<PNGraph>(messGraph, 0, 1);
PNGraph randGraph = TSnap::GenRndGnm<PNGraph>(mGraph->GetNodes(), mGraph->GetEdges(), true, TInt::Rnd);
// Induce network graph from the entire network based on message graph
TIntV NIdV;
for (TNGraph::TNodeI NI = mGraph->BegNI(); NI < mGraph->EndNI(); NI++)
NIdV.AddUnique(NI.GetId());
PNGraph indGraph = TSnap::GetSubGraph<PNGraph>(eGraph, NIdV);
//printf("%s:: ", messGraph.CStr()); printf("nodes %d; ", indGraph->GetNodes());
//printf("induced edges %d, random edges %d\n", indGraph->GetEdges(), randGraph->GetEdges());
printf("%d\t%d\t%d\n", indGraph->GetNodes(), indGraph->GetEdges(), mGraph->GetEdges());
}
// network cascade: add spurious edges
// for more details see "Correcting for Missing Data in Information Cascades" by E. Sadikov, M. Medina, J. Leskovec, H. Garcia-Molina. WSDM, 2011
PNGraph AddSpuriousEdges(const PUNGraph& Graph, const PNGraph& Casc, TIntH NIdTmH) {
TIntPrV EdgeV;
for (TNGraph::TNodeI NI = Casc->BegNI(); NI < Casc->EndNI(); NI++) {
TUNGraph::TNodeI GNI = Graph->GetNI(NI.GetId());
const int Tm = NIdTmH.GetDat(NI.GetId());
for (int i=0,j=0; i < GNI.GetOutDeg(); i++) {
const int Dst = GNI.GetOutNId(i);
if (NIdTmH.IsKey(Dst) && Tm<NIdTmH.GetDat(Dst) && ! NI.IsNbhNId(Dst)) {
EdgeV.Add(TIntPr(GNI.GetId(), Dst)); }
}
}
PNGraph NetCasc = TNGraph::New();
*NetCasc = *Casc;
for (int e = 0; e < EdgeV.Len(); e++) {
NetCasc->AddEdge(EdgeV[e].Val1, EdgeV[e].Val2); }
return NetCasc;
}
void graphson(PNGraph Graph){
std::ofstream graph;
graph.open("graph.json");
graph << "{\n";
graph << " \"graph\": {\n";
graph << " " << "\"mode\": \"NORMAL\", \n";
graph << " " << "\"vertices\": [\n";
int i = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
i++;
graph << " " << "{\n";
graph << " " << "\"_id\": \"" << NI.GetId() << "\",\n";
graph << " " << "\"_type\": \"vertex\"\n";
if (i == Graph->GetNodes()) {
graph << " " << "}\n";
} else {
graph << " " << "},\n";
}
}
graph << " " << "],\n";
graph << " " << "\"edges\": [\n";
i = 0;
printf("Edges: %d", Graph->GetEdges());
for (TNGraph::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
graph << " " << "{\n"
<< " " << "\"_id\": \"" << i++ << "\",\n"
<< " " << "\"_type\": \"edge\"\n"
<< " " << "\"_outV\": \"" << EI.GetSrcNId() << "\"\n"
<< " " << "\"_inV\": \""<< EI.GetDstNId() << "\"\n";
if (i == Graph->GetEdges())
graph << " " << "}\n";
else
graph << " " << "},\n";
}
graph << " " << "]\n";
graph << " " << "}\n";
graph << "}\n";
graph.close();
}
/// Rewire the network. Keeps node degrees as is but randomly rewires the edges.
/// Use this function to generate a random graph with the same degree sequence
/// as the OrigGraph.
/// See: On the uniform generation of random graphs with prescribed degree
/// sequences by R. Milo, N. Kashtan, S. Itzkovitz, M. E. J. Newman, U. Alon.
/// URL: http://arxiv.org/abs/cond-mat/0312028
PNGraph GenRewire(const PNGraph& OrigGraph, const int& NSwitch, TRnd& Rnd) {
const int Nodes = OrigGraph->GetNodes();
const int Edges = OrigGraph->GetEdges();
PNGraph GraphPt = TNGraph::New();
TNGraph& Graph = *GraphPt;
Graph.Reserve(Nodes, -1);
TExeTm ExeTm;
// generate a graph that satisfies the constraints
printf("Randomizing edges (%d, %d)...\n", Nodes, Edges);
TIntPrSet EdgeSet(Edges);
for (TNGraph::TNodeI NI = OrigGraph->BegNI(); NI < OrigGraph->EndNI(); NI++) {
const int NId = NI.GetId();
for (int e = 0; e < NI.GetOutDeg(); e++) {
EdgeSet.AddKey(TIntPr(NId, NI.GetOutNId(e))); }
Graph.AddNode(NI);
}
// edge switching
uint skip=0;
for (uint swps = 0; swps < 2*uint(Edges)*uint(NSwitch); swps++) {
const int keyId1 = EdgeSet.GetRndKeyId(Rnd);
const int keyId2 = EdgeSet.GetRndKeyId(Rnd);
if (keyId1 == keyId2) { skip++; continue; }
const TIntPr& E1 = EdgeSet[keyId1];
const TIntPr& E2 = EdgeSet[keyId2];
TIntPr NewE1(E1.Val1, E2.Val1), NewE2(E1.Val2, E2.Val2);
if (NewE1.Val1!=NewE2.Val1 && NewE1.Val2!=NewE2.Val1 && NewE1.Val2!=NewE2.Val1 && NewE1.Val2!=NewE2.Val2 && ! EdgeSet.IsKey(NewE1) && ! EdgeSet.IsKey(NewE2)) {
EdgeSet.DelKeyId(keyId1); EdgeSet.DelKeyId(keyId2);
EdgeSet.AddKey(TIntPr(NewE1));
EdgeSet.AddKey(TIntPr(NewE2));
} else { skip++; }
if (swps % Edges == 0) {
printf("\r %uk/%uk: %uk skip [%s]", swps/1000u, 2*uint(Edges)*uint(NSwitch)/1000u, skip/1000u, ExeTm.GetStr());
if (ExeTm.GetSecs() > 2*3600) { printf(" *** Time limit!\n"); break; } // time limit 2 hours
}
}
printf("\r total %uk switchings attempted, %uk skiped [%s]\n", 2*uint(Edges)*uint(NSwitch)/1000u, skip/1000u, ExeTm.GetStr());
for (int e = 0; e < EdgeSet.Len(); e++) {
Graph.AddEdge(EdgeSet[e].Val1, EdgeSet[e].Val2); }
return GraphPt;
}
int main(int argc, char* argv[]) {
// create a graph and save it
{ PNGraph Graph = TNGraph::New();
for (int i = 0; i < 10; i++) {
Graph->AddNode(i); }
for (int i = 0; i < 10; i++) {
Graph->AddEdge(i, TInt::Rnd.GetUniDevInt(10)); }
TSnap::SaveEdgeList(Graph, "graph.txt", "Edge list format"); }
// load a graph
PNGraph Graph;
Graph = TSnap::LoadEdgeList<PNGraph>("graph.txt", 0, 1);
// traverse nodes
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
printf("NodeId: %d, InDegree: %d, OutDegree: %d\n", NI.GetId(), NI.GetInDeg(), NI.GetOutDeg());
printf("OutNodes: ");
for (int e = 0; e < NI.GetOutDeg(); e++) { printf(" %d", NI.GetOutNId(e)); }
printf("\nInNodes: ");
for (int e = 0; e < NI.GetInDeg(); e++) { printf(" %d", NI.GetInNId(e)); }
printf("\n\n");
}
// graph statistic
TSnap::PrintInfo(Graph, "Graph info");
PNGraph MxWcc = TSnap::GetMxWcc(Graph);
TSnap::PrintInfo(MxWcc, "Largest Weakly connected component");
// random graph
PNGraph RndGraph = TSnap::GenRndGnm<PNGraph>(100, 1000);
TGStat GraphStat(RndGraph, TSecTm(1), TGStat::AllStat(), "Gnm graph");
GraphStat.PlotAll("RndGraph", "Random graph on 1000 nodes");
// Forest Fire graph
{ TFfGGen ForestFire(false, 1, 0.35, 0.30, 1.0, 0.0, 0.0);
ForestFire.GenGraph(100);
PNGraph FfGraph = ForestFire.GetGraph(); }
// network
TPt<TNodeEDatNet<TStr, TStr> > Net = TNodeEDatNet<TStr, TStr>::New();
Net->AddNode(0, "zero");
Net->AddNode(1, "one");
Net->AddEdge(0, 1, "zero to one");
return 0;
}
void graphMl(PNGraph Graph){
std::ofstream graphml;
graphml.open("graph.graphml");
graphml << "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n";
graphml << "<graphml xmlns=\"http://graphml.graphdrawing.org/xmlns\"\n";
graphml << " xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\"\n";
graphml << " xsi:schemaLocation=\"http://graphml.graphdrawing.org/xmlns\n";
graphml << " http://graphml.graphdrawing.org/xmlns/1.1/graphml.xsd\">\n";
graphml << " <graph id=\"G\" edgedefault=\"directed\">\n";
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++)
graphml << " <node id=\"" << NI.GetId() << "\"/>\n";
int i = 1;
for (TNGraph::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
graphml << " <edge id=\"e" << i++ << "\" directed=\"true"
<< "\" source=\"" << EI.GetSrcNId()
<< "\" target=\"" << EI.GetDstNId() << "\"/>\n";
}
graphml << " </graph>\n";
graphml << "</graphml>\n";
graphml.close();
}
void gexf(PNGraph Graph){
std::ofstream graph;
graph.open("graph.gexf");
graph << "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n"
<< "<gexf xmlns=\"http://www.gexf.net/1.2draft\" version=\"1.2\">\n"
<< " <graph mode=\"static\" defaultedgetype=\"directed\">\n"
<< " <nodes>\n";
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++)
graph << " <node id=\"" << NI.GetId() << "\"/>\n";
graph << " </nodes>\n";
graph << " <edges>\n";
int i = 1;
for (TNGraph::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++)
graph << " <edge id=\"e" << i++
<< "\" directed=\"true" << "\" source=\""
<< EI.GetSrcNId() << "\" target=\""
<< EI.GetDstNId() << "\"/>\n";
graph << " </edges>\n"
<< " </graph>\n"
<< "</gexf>\n";
graph.close();
}
// Test node, edge creation
void ManipulateNodesEdges() {
int NNodes = 10000;
int NEdges = 100000;
const char *FName = "demo.graph.dat";
PNGraph Graph;
PNGraph Graph1;
PNGraph Graph2;
int i;
int n;
int NCount;
int ECount1;
int ECount2;
int x,y;
bool t;
Graph = TNGraph::New();
t = Graph->Empty();
// create the nodes
for (i = 0; i < NNodes; i++) {
Graph->AddNode(i);
}
t = Graph->Empty();
n = Graph->GetNodes();
// create random edges
NCount = NEdges;
while (NCount > 0) {
x = rand() % NNodes;
y = rand() % NNodes;
// Graph->GetEdges() is not correct for the loops (x == y),
// skip the loops in this test
if (x != y && !Graph->IsEdge(x,y)) {
n = Graph->AddEdge(x, y);
NCount--;
}
}
PrintGStats("ManipulateNodesEdges:Graph",Graph);
// get all the nodes
NCount = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
NCount++;
}
// get all the edges for all the nodes
ECount1 = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
for (int e = 0; e < NI.GetOutDeg(); e++) {
ECount1++;
}
}
// get all the edges directly
ECount2 = 0;
for (TNGraph::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
ECount2++;
}
printf("ManipulateNodesEdges:Graph, nodes %d, edges1 %d, edges2 %d\n",
NCount, ECount1, ECount2);
// assignment
Graph1 = TNGraph::New();
*Graph1 = *Graph;
PrintGStats("ManipulateNodesEdges:Graph1",Graph1);
// save the graph
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
}
// load the graph
{
TFIn FIn(FName);
Graph2 = TNGraph::Load(FIn);
}
PrintGStats("ManipulateNodesEdges:Graph2",Graph2);
// remove all the nodes and edges
for (i = 0; i < NNodes; i++) {
n = Graph->GetRndNId();
Graph->DelNode(n);
}
PrintGStats("ManipulateNodesEdges:Graph",Graph);
Graph1->Clr();
PrintGStats("ManipulateNodesEdges:Graph1",Graph1);
}
int main(int argc, char* argv[]) {
Env = TEnv(argc, argv, TNotify::StdNotify);
Env.PrepArgs(TStr::Fmt("Inverse PageRank. Build: %s, %s. Time: %s", __TIME__, __DATE__, TExeTm::GetCurTm()));
TExeTm ExeTm;
Try
const TStr Iput = Env.GetIfArgPrefixStr("-i:", "Input.txt", "Input File" );
const TStr Oput = Env.GetIfArgPrefixStr("-o:", "Output.txt", "Output File");
FILE* fpI = fopen(Iput.CStr(), "r");
FILE* fpO = fopen(Oput.CStr(), "w");
const double C = 0.85;
const int MaxIter = 50;
const double Eps = 1e-9;
PNGraph Graph = TSnap::LoadEdgeList< PNGraph > (Iput);
fprintf(fpO, "\nNodes: %d, Edges: %d\n\n", Graph->GetNodes(), Graph->GetEdges());
const int NNodes = Graph->GetNodes();
const double OneOver = (double) 1.0 / (double) NNodes;
TIntFltH PRankH;
PRankH.Gen(NNodes);
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++)
PRankH.AddDat(NI.GetId(), OneOver);
TFltV TmpV(NNodes);
for (int iter = 0; iter < MaxIter; iter++) {
int j = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++, j++) {
TmpV[j] = 0;
for (int e = 0; e < NI.GetOutDeg(); e++) {
const int OutNId = NI.GetOutNId(e);
const int InDeg = Graph->GetNI(OutNId).GetInDeg();
if (InDeg > 0)
TmpV[j] += PRankH.GetDat(OutNId) / InDeg;
}
TmpV[j] = C * TmpV[j];
}
for (int i = 0; i < PRankH.Len(); i++)
PRankH[i] = TmpV[i];
/*
double diff = 0, sum = 0, NewVal;
for (int i = 0; i < TmpV.Len(); i++)
sum += TmpV[i];
const double Leaked = (double) (1.0 - sum) / (double) NNodes;
for (int i = 0; i < PRankH.Len(); i++) {
NewVal = TmpV[i] + Leaked;
diff += fabs(NewVal - PRankH[i]);
PRankH[i] = NewVal;
}
if (diff < Eps)
break;
*/
}
fprintf(fpO, "Node ID\t\tInverse PageRank\n");
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++){
int Id = NI.GetId();
double ipr = PRankH.GetDat(Id);
fprintf(fpO, "%d\t\t\t%.5lf\n", Id, ipr);
}
Catch
printf("\nRun Time: %s (%s)\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
return 0;
}
int main(int argc, char* argv[]) {
setbuf(stdout, NULL); // disables the buffer so that print statements are not buffered and display immediately (?)
Env = TEnv(argc, argv, TNotify::StdNotify);
Env.PrepArgs(TStr::Fmt("Graph connectivity. build: %s, %s. Time: %s", __TIME__, __DATE__, TExeTm::GetCurTm()));
TExeTm ExeTm;
Try
const TStr InFNm = Env.GetIfArgPrefixStr("-i:", "", "input network");
const TStr SubsetNIdVFNm = Env.GetIfArgPrefixStr("-j:", "", "subset of nodes");
const TStr OutFNm = Env.GetIfArgPrefixStr("-o:", "", "output prefix (filename extensions added)");
const TStr BseFNm = OutFNm.RightOfLast('/');
const bool c = Env.GetIfArgPrefixBool("-c:", false, "collate centralities into matrix (T / F)");
// Load graph and create directed and undirected graphs (pointer to the same memory)
printf("\nLoading %s...", InFNm.CStr());
PNGraph Graph = TSnap::LoadEdgeList<PNGraph>(InFNm);
printf(" DONE\n");
printf(" nodes: %d\n", Graph->GetNodes());
printf(" edges: %d\n", Graph->GetEdges());
printf(" time elapsed: %s (%s)\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
// Load subset nodes
TIntV SubsetNIdV = TSnap::LoadTxtIntV(SubsetNIdVFNm);
// Declare variables
TIntIntH InNodesH, InDiameterH, OutNodesH, OutDiameterH, NodesH, DiameterH;
TNGraph::TNodeI NI;
// SUBSET DIAMETER AND NODE COUNTS
printf("Computing subset diameter and node counts\n");
TSnap::TFixedMemorySubsetDiameter<PNGraph> FixedMemorySubsetDiameter(Graph);
printf(" ...");
FixedMemorySubsetDiameter.ComputeInSubsetDiameter(SubsetNIdV, InNodesH, InDiameterH);
printf(" DONE (time elapsed: %s (%s))\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
printf(" ...");
FixedMemorySubsetDiameter.ComputeOutSubsetDiameter(SubsetNIdV, OutNodesH, OutDiameterH);
printf(" DONE (time elapsed: %s (%s))\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
printf(" ...");
FixedMemorySubsetDiameter.ComputeSubsetDiameter(SubsetNIdV, NodesH, DiameterH);
printf(" DONE (time elapsed: %s (%s))\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
// OUTPUTTING (mostly verbose printing statements, don't get scared)
if (c) {
printf("\nSaving %s.diameters.combined...", BseFNm.CStr());
const TStr CombinedFNm = TStr::Fmt("%s.diameters.combined", OutFNm.CStr());
FILE *F = fopen(CombinedFNm.CStr(), "wt");
fprintf(F,"# Subset diameters and node counts (in / out / undirected)\n");
fprintf(F,"# Nodes: %d\tEdges: %d\t Subset size: %d\n", Graph->GetNodes(), Graph->GetEdges(), SubsetNIdV.Len());
fprintf(F,"# SubsetNodeId\tInDiameter\tInNodes\tOutDiameter\tOutNodes\tDiameter\tNodes\n");
for (NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
const int NId = NI.GetId(); fprintf(F, "%d", NId);
fprintf(F, "\t%d\t%d", int(InDiameterH.GetDat(NId)), int(InNodesH.GetDat(NId)));
fprintf(F, "\t%d\t%d", int(OutDiameterH.GetDat(NId)), int(OutNodesH.GetDat(NId)));
fprintf(F, "\t%d\t%d", int(DiameterH.GetDat(NId)), int(NodesH.GetDat(NId)));
fprintf(F, "\n");
}
printf(" DONE\n");
} else {
printf("\nSaving %s.nodes.IN...", BseFNm.CStr());
TSnap::SaveTxt(InNodesH, TStr::Fmt("%s.nodes.IN", OutFNm.CStr()), "Number of nodes in neighborhood (in) ", "Node", "Number");
printf(" DONE");
printf("\nSaving %s.nodes.OUT...", BseFNm.CStr());
TSnap::SaveTxt(OutNodesH, TStr::Fmt("%s.nodes.OUT", OutFNm.CStr()), "Number of nodes in neighborhood (out) ", "Node", "Number");
printf(" DONE");
printf("\nSaving %s.nodes...", BseFNm.CStr());
TSnap::SaveTxt(NodesH, TStr::Fmt("%s.nodes", OutFNm.CStr()), "Number of nodes in neighborhood (undirected) ", "Node", "Number");
printf(" DONE\n");
printf("\nSaving %s.diameter.IN...", BseFNm.CStr());
TSnap::SaveTxt(InDiameterH, TStr::Fmt("%s.diameter.IN", OutFNm.CStr()), "Diameter of neighborhood (in) ", "Node", "Diameter");
printf(" DONE");
printf("\nSaving %s.diameter.OUT...", BseFNm.CStr());
TSnap::SaveTxt(OutDiameterH, TStr::Fmt("%s.diameter.OUT", OutFNm.CStr()), "Diameter of neighborhood (out) ", "Node", "Diameter");
printf(" DONE");
printf("\nSaving %s.diameter...", BseFNm.CStr());
TSnap::SaveTxt(DiameterH, TStr::Fmt("%s.diameter", OutFNm.CStr()), "Diameter of neighborhood (undirected) ", "Node", "Diameter");
printf(" DONE\n");
}
Catch
printf("\nTotal run time: %s (%s)\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
return 0;
}
void exportNodeList(const PNGraph& graph, std::vector<int>& idList) {
for (TNGraph::TNodeI ni = graph->BegNI(); ni != graph->EndNI(); ni++) {
idList.push_back(ni.GetId());
}
}
int64 CountTriangles2(const PNGraph &Graph) {
struct timeval start, end;
float delta;
TTmProfiler Profiler;
int TimerId = Profiler.AddTimer("Profiler");
const int NNodes = Graph->GetNodes();
TIntV MapV(NNodes);
TVec<TNGraph::TNodeI> NV(NNodes);
NV.Reduce(0);
Profiler.ResetTimer(TimerId);
Profiler.StartTimer(TimerId);
gettimeofday(&start, NULL);
int MxId = -1;
int ind = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
NV.Add(NI);
int Id = NI.GetId();
if (Id > MxId) {
MxId = Id;
}
MapV[ind] = Id;
ind++;
}
TIntV IndV(MxId+1);
for (int j = 0; j < NNodes; j++) {
IndV[MapV[j]] = j;
}
gettimeofday(&end, NULL);
Profiler.StopTimer(TimerId);
delta = ((end.tv_sec - start.tv_sec) * 1000000u +
end.tv_usec - start.tv_usec) / 1.e6;
printf("__nodemap__\ttime %7.3f\tcpu %8.3f\n", delta, Profiler.GetTimerSec(TimerId));
Profiler.ResetTimer(TimerId);
Profiler.StartTimer(TimerId);
gettimeofday(&start, NULL);
ind = MapV.Len();
Profiler.ResetTimer(TimerId);
Profiler.StartTimer(TimerId);
gettimeofday(&start, NULL);
TVec<TIntV> HigherDegNbrV(ind);
for (int i = 0; i < ind; i++) {
HigherDegNbrV[i] = TVec<TInt>();
HigherDegNbrV[i].Reserve(NV[i].GetDeg());
HigherDegNbrV[i].Reduce(0);
}
gettimeofday(&end, NULL);
Profiler.StopTimer(TimerId);
delta = ((end.tv_sec - start.tv_sec) * 1000000u +
end.tv_usec - start.tv_usec) / 1.e6;
printf("__valloc__\ttime %7.3f\tcpu %8.3f\n", delta, Profiler.GetTimerSec(TimerId));
Profiler.ResetTimer(TimerId);
Profiler.StartTimer(TimerId);
gettimeofday(&start, NULL);
#pragma omp parallel for schedule(dynamic)
for (TInt i = 0; i < ind; i++) {
TNGraph::TNodeI NI = NV[i];
//HigherDegNbrV[i] = TVec<TInt>();
//HigherDegNbrV[i].Reserve(NI.GetDeg());
//HigherDegNbrV[i].Reduce(0);
GetMergeSortedV(HigherDegNbrV[i], NI);
int k = 0;
for (TInt j = 0; j < HigherDegNbrV[i].Len(); j++) {
TInt Vert = HigherDegNbrV[i][j];
TInt Deg = NV[IndV[Vert]].GetDeg();
if (Deg > NI.GetDeg() ||
(Deg == NI.GetDeg() && Vert > NI.GetId())) {
HigherDegNbrV[i][k] = Vert;
k++;
}
}
HigherDegNbrV[i].Reduce(k);
}
gettimeofday(&end, NULL);
Profiler.StopTimer(TimerId);
delta = ((end.tv_sec - start.tv_sec) * 1000000u +
end.tv_usec - start.tv_usec) / 1.e6;
printf("__sort__\ttime %7.3f\tcpu %8.3f\n", delta, Profiler.GetTimerSec(TimerId));
Profiler.ResetTimer(TimerId);
Profiler.StartTimer(TimerId);
gettimeofday(&start, NULL);
int64 cnt = 0;
#pragma omp parallel for schedule(dynamic) reduction(+:cnt)
for (TInt i = 0; i < HigherDegNbrV.Len(); i++) {
for (TInt j = 0; j < HigherDegNbrV[i].Len(); j++) {
//TInt NbrInd = H.GetDat(HigherDegNbrV[i][j]);
TInt NbrInd = IndV[HigherDegNbrV[i][j]];
int64 num = GetCommon(HigherDegNbrV[i], HigherDegNbrV[NbrInd]);
cnt += num;
}
}
gettimeofday(&end, NULL);
Profiler.StopTimer(TimerId);
delta = ((end.tv_sec - start.tv_sec) * 1000000u +
end.tv_usec - start.tv_usec) / 1.e6;
printf("__count__\ttime %7.3f\tcpu %8.3f\n", delta, Profiler.GetTimerSec(TimerId));
return cnt;
}
// Test node, edge creation
TEST(TNGraph, ManipulateNodesEdges) {
int NNodes = 10000;
int NEdges = 100000;
const char *FName = "test.graph.dat";
PNGraph Graph;
PNGraph Graph1;
PNGraph Graph2;
int i;
int n;
int NCount;
int x,y;
int Deg, InDeg, OutDeg;
Graph = TNGraph::New();
EXPECT_EQ(1,Graph->Empty());
// create the nodes
for (i = 0; i < NNodes; i++) {
Graph->AddNode(i);
}
EXPECT_EQ(0,Graph->Empty());
EXPECT_EQ(NNodes,Graph->GetNodes());
// create random edges
NCount = NEdges;
while (NCount > 0) {
x = (long) (drand48() * NNodes);
y = (long) (drand48() * NNodes);
// Graph->GetEdges() is not correct for the loops (x == y),
// skip the loops in this test
if (x != y && !Graph->IsEdge(x,y)) {
n = Graph->AddEdge(x, y);
NCount--;
}
}
EXPECT_EQ(NEdges,Graph->GetEdges());
EXPECT_EQ(0,Graph->Empty());
EXPECT_EQ(1,Graph->IsOk());
for (i = 0; i < NNodes; i++) {
EXPECT_EQ(1,Graph->IsNode(i));
}
EXPECT_EQ(0,Graph->IsNode(NNodes));
EXPECT_EQ(0,Graph->IsNode(NNodes+1));
EXPECT_EQ(0,Graph->IsNode(2*NNodes));
// nodes iterator
NCount = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
NCount++;
}
EXPECT_EQ(NNodes,NCount);
// edges per node iterator
NCount = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
for (int e = 0; e < NI.GetOutDeg(); e++) {
NCount++;
}
}
EXPECT_EQ(NEdges,NCount);
// edges iterator
NCount = 0;
for (TNGraph::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
NCount++;
}
EXPECT_EQ(NEdges,NCount);
// node degree
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
Deg = NI.GetDeg();
InDeg = NI.GetInDeg();
OutDeg = NI.GetOutDeg();
EXPECT_EQ(Deg,InDeg+OutDeg);
}
// assignment
Graph1 = TNGraph::New();
*Graph1 = *Graph;
EXPECT_EQ(NNodes,Graph1->GetNodes());
EXPECT_EQ(NEdges,Graph1->GetEdges());
EXPECT_EQ(0,Graph1->Empty());
EXPECT_EQ(1,Graph1->IsOk());
// saving and loading
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
}
{
TFIn FIn(FName);
Graph2 = TNGraph::Load(FIn);
}
EXPECT_EQ(NNodes,Graph2->GetNodes());
EXPECT_EQ(NEdges,Graph2->GetEdges());
EXPECT_EQ(0,Graph2->Empty());
EXPECT_EQ(1,Graph2->IsOk());
// remove all the nodes and edges
for (i = 0; i < NNodes; i++) {
n = Graph->GetRndNId();
Graph->DelNode(n);
}
EXPECT_EQ(0,Graph->GetNodes());
EXPECT_EQ(0,Graph->GetEdges());
EXPECT_EQ(1,Graph->IsOk());
EXPECT_EQ(1,Graph->Empty());
Graph1->Clr();
EXPECT_EQ(0,Graph1->GetNodes());
EXPECT_EQ(0,Graph1->GetEdges());
EXPECT_EQ(1,Graph1->IsOk());
EXPECT_EQ(1,Graph1->Empty());
}
int main(int argc, char* argv[]) {
Env = TEnv(argc, argv, TNotify::StdNotify);
Env.PrepArgs(TStr::Fmt("Trust Rank. Build: %s, %s. Time: %s", __TIME__, __DATE__, TExeTm::GetCurTm()));
TExeTm ExeTm;
Try
const TStr Gnod = Env.GetIfArgPrefixStr("-g:", "Gnode.txt", "Good Nodes");
const TStr Bnod = Env.GetIfArgPrefixStr("-b:", "Bnode.txt", "Bad Nodes" );
const TStr Iput = Env.GetIfArgPrefixStr("-i:", "Input.txt", "Input File");
const TStr Oput = Env.GetIfArgPrefixStr("-o:", "Output.txt", "Output File");
const double C = 0.85;
const int MaxIter = 50;
const double Eps = 1e-9;
FILE* fpO = fopen(Oput.CStr(), "w");
PNGraph Graph = TSnap::LoadEdgeList< PNGraph > (Iput);
fprintf(fpO, "\nNodes: %d, Edges: %d\n\n", Graph->GetNodes(), Graph->GetEdges());
const int NNodes = Graph->GetNodes();
TIntFltH TRankH;
TRankH.Gen(NNodes);
int maxNId = 0, NId = 0, ret = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++)
maxNId = max(maxNId, NI.GetId());
TFltV initialTrustScore(maxNId + 1);
for (int i = 0; i < initialTrustScore.Len(); i++)
initialTrustScore[i] = 0.5;
FILE* fpI = fopen(Gnod.CStr(), "r");
while (true) {
ret = fscanf(fpI, "%d", &NId);
if (ret == EOF) break;
if (Graph->IsNode(NId))
initialTrustScore[NId] = 1.0;
}
fclose(fpI);
fpI = fopen(Bnod.CStr(), "r");
while (true) {
ret = fscanf(fpI, "%d", &NId);
if (ret == EOF) break;
if (Graph->IsNode(NId))
initialTrustScore[NId] = 0.0;
}
fclose(fpI);
double Tot = 0.0;
for(int i = 0; i < initialTrustScore.Len(); i++)
Tot += initialTrustScore[i];
for(int i = 0; i < initialTrustScore.Len(); i++)
initialTrustScore[i] /= Tot;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++)
TRankH.AddDat( NI.GetId(), initialTrustScore[NI.GetId()] );
TFltV TmpV(NNodes);
for (int iter = 0; iter < MaxIter; iter++) {
int j = 0;
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++, j++) {
TmpV[j] = 0;
for (int e = 0; e < NI.GetOutDeg(); e++) {
const int OutNId = NI.GetOutNId(e);
const int InDeg = Graph->GetNI(InNId).GetInDeg();
if (InDeg > 0)
TmpV[j] += (double) TRankH.GetDat(OutNId) / (double) InDeg;
}
TmpV[j] = C * TmpV[j] + (1.0 - C) * initialTrustScore[NI.GetId()];
}
for (int i = 0; i < TRankH.Len(); i++)
TRankH[i] = TmpV[i];
}
fprintf(fpO, "Node ID\t\tTrustRank\n");
for (TNGraph::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++){
int Id = NI.GetId();
double tr = TRankH.GetDat(Id);
fprintf(fpO, "%d\t\t\t%.5lf\n", Id, tr);
}
fclose(fpO);
Catch
printf("\nRun Time: %s (%s)\n", ExeTm.GetTmStr(), TSecTm::GetCurTm().GetTmStr().CStr());
return 0;
}