SNAP Library 2.3, User Reference  2014-06-16 11:58:46
SNAP, a general purpose, high performance system for analysis and manipulation of large networks
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triad.h
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1 namespace TSnap {
2 
4 // Triads and clustering coefficient
5 
7 
9 template <class PGraph> double GetClustCf(const PGraph& Graph, int SampleNodes=-1);
11 
15 template <class PGraph> double GetClustCf(const PGraph& Graph, TFltPrV& DegToCCfV, int SampleNodes=-1);
17 
21 template <class PGraph> double GetClustCf(const PGraph& Graph, TFltPrV& DegToCCfV, int64& ClosedTriadsX, int64& OpenTriadsX, int SampleNodes=-1);
23 
25 template <class PGraph> double GetNodeClustCf(const PGraph& Graph, const int& NId);
27 
31 template <class PGraph> void GetNodeClustCf(const PGraph& Graph, TIntFltH& NIdCCfH);
32 
34 
38 template <class PGraph> int64 GetTriads(const PGraph& Graph, int SampleNodes=-1);
40 
43 template <class PGraph> int64 GetTriads(const PGraph& Graph, int64& ClosedTriadsX, int64& OpenTriadsX, int SampleNodes);
45 
49 template <class PGraph> void GetTriads(const PGraph& Graph, TIntTrV& NIdCOTriadV, int SampleNodes=-1);
51 
54 template <class PGraph> int GetTriadEdges(const PGraph& Graph, int SampleEdges=-1);
55 
57 
61 template <class PGraph> int GetNodeTriads(const PGraph& Graph, const int& NId);
63 
69 template <class PGraph> int GetNodeTriads(const PGraph& Graph, const int& NId, int& ClosedNTriadsX, int& OpenNTriadsX);
71 
79 template <class PGraph>
80 int GetNodeTriads(const PGraph& Graph, const int& NId, const TIntSet& GroupSet, int& InGroupEdgesX, int& InOutGroupEdgesX, int& OutGroupEdgesX);
82 
84 template <class PGraph> void GetTriadParticip(const PGraph& Graph, TIntPrV& TriadCntV);
85 
87 template<class PGraph> int GetCmnNbrs(const PGraph& Graph, const int& NId1, const int& NId2);
89 template<class PGraph> int GetCmnNbrs(const PGraph& Graph, const int& NId1, const int& NId2, TIntV& NbrV);
91 template<class PGraph> int GetLen2Paths(const PGraph& Graph, const int& NId1, const int& NId2);
93 
95 template<class PGraph> int GetLen2Paths(const PGraph& Graph, const int& NId1, const int& NId2, TIntV& NbrV);
96 
98 // Implementation
99 
100 template <class PGraph> double GetClustCf(const PGraph& Graph, int SampleNodes) {
101  TIntTrV NIdCOTriadV;
102  GetTriads(Graph, NIdCOTriadV, SampleNodes);
103  if (NIdCOTriadV.Empty()) { return 0.0; }
104  double SumCcf = 0.0;
105  for (int i = 0; i < NIdCOTriadV.Len(); i++) {
106  const double OpenCnt = NIdCOTriadV[i].Val2()+NIdCOTriadV[i].Val3();
107  if (OpenCnt > 0) {
108  SumCcf += NIdCOTriadV[i].Val2() / OpenCnt; }
109  }
110  IAssert(SumCcf>=0);
111  return SumCcf / double(NIdCOTriadV.Len());
112 }
113 
114 template <class PGraph> double GetClustCf(const PGraph& Graph, TFltPrV& DegToCCfV, int SampleNodes) {
115  TIntTrV NIdCOTriadV;
116  GetTriads(Graph, NIdCOTriadV, SampleNodes);
117  THash<TInt, TFltPr> DegSumCnt;
118  double SumCcf = 0.0;
119  for (int i = 0; i < NIdCOTriadV.Len(); i++) {
120  const int D = NIdCOTriadV[i].Val2()+NIdCOTriadV[i].Val3();
121  const double Ccf = D!=0 ? NIdCOTriadV[i].Val2() / double(D) : 0.0;
122  TFltPr& SumCnt = DegSumCnt.AddDat(Graph->GetNI(NIdCOTriadV[i].Val1).GetDeg());
123  SumCnt.Val1 += Ccf;
124  SumCnt.Val2 += 1;
125  SumCcf += Ccf;
126  }
127  // get average clustering coefficient for each degree
128  DegToCCfV.Gen(DegSumCnt.Len(), 0);
129  for (int d = 0; d < DegSumCnt.Len(); d++) {
130  DegToCCfV.Add(TFltPr(DegSumCnt.GetKey(d).Val, double(DegSumCnt[d].Val1()/DegSumCnt[d].Val2())));
131  }
132  DegToCCfV.Sort();
133  return SumCcf / double(NIdCOTriadV.Len());
134 }
135 
136 template <class PGraph>
137 double GetClustCf(const PGraph& Graph, TFltPrV& DegToCCfV, int64& ClosedTriads, int64& OpenTriads, int SampleNodes) {
138  TIntTrV NIdCOTriadV;
139  GetTriads(Graph, NIdCOTriadV, SampleNodes);
140  THash<TInt, TFltPr> DegSumCnt;
141  double SumCcf = 0.0;
142  int64 closedTriads = 0;
143  int64 openTriads = 0;
144  for (int i = 0; i < NIdCOTriadV.Len(); i++) {
145  const int D = NIdCOTriadV[i].Val2()+NIdCOTriadV[i].Val3();
146  const double Ccf = D!=0 ? NIdCOTriadV[i].Val2() / double(D) : 0.0;
147  closedTriads += NIdCOTriadV[i].Val2;
148  openTriads += NIdCOTriadV[i].Val3;
149  TFltPr& SumCnt = DegSumCnt.AddDat(Graph->GetNI(NIdCOTriadV[i].Val1).GetDeg());
150  SumCnt.Val1 += Ccf;
151  SumCnt.Val2 += 1;
152  SumCcf += Ccf;
153  }
154  // get average clustering coefficient for each degree
155  DegToCCfV.Gen(DegSumCnt.Len(), 0);
156  for (int d = 0; d < DegSumCnt.Len(); d++) {
157  DegToCCfV.Add(TFltPr(DegSumCnt.GetKey(d).Val, DegSumCnt[d].Val1()/DegSumCnt[d].Val2()));
158  }
159  //if(closedTriads/3 > (uint64) TInt::Mx) { WarnNotify(TStr::Fmt("[%s line %d] %g closed triads.\n", __FILE__, __LINE__, float(closedTriads/3)).CStr()); }
160  //if(openTriads > (uint64) TInt::Mx) { WarnNotify(TStr::Fmt("[%s line %d] %g open triads.\n", __FILE__, __LINE__, float(openTriads/3)).CStr()); }
161  ClosedTriads = closedTriads/int64(3); // each triad is counted 3 times
162  OpenTriads = openTriads;
163  DegToCCfV.Sort();
164  return SumCcf / double(NIdCOTriadV.Len());
165 }
166 
167 template <class PGraph>
168 double GetNodeClustCf(const PGraph& Graph, const int& NId) {
169  int Open, Closed;
170  GetNodeTriads(Graph, NId, Open, Closed);
171  //const double Deg = Graph->GetNI(NId).GetDeg();
172  return (Open+Closed)==0 ? 0 : double(Open)/double(Open+Closed);
173 }
174 
175 template <class PGraph>
176 void GetNodeClustCf(const PGraph& Graph, TIntFltH& NIdCCfH) {
177  TIntTrV NIdCOTriadV;
178  GetTriads(Graph, NIdCOTriadV);
179  NIdCCfH.Clr(false);
180  for (int i = 0; i < NIdCOTriadV.Len(); i++) {
181  const int D = NIdCOTriadV[i].Val2()+NIdCOTriadV[i].Val3();
182  const double CCf = D!=0 ? NIdCOTriadV[i].Val2() / double(D) : 0.0;
183  NIdCCfH.AddDat(NIdCOTriadV[i].Val1, CCf);
184  }
185 }
186 
187 template <class PGraph>
188 int64 GetTriads(const PGraph& Graph, int SampleNodes) {
189  int64 OpenTriads, ClosedTriads;
190  return GetTriads(Graph, ClosedTriads, OpenTriads, SampleNodes);
191 }
192 
193 template <class PGraph>
194 int64 GetTriads(const PGraph& Graph, int64& ClosedTriads, int64& OpenTriads, int SampleNodes) {
195  TIntTrV NIdCOTriadV;
196  GetTriads(Graph, NIdCOTriadV, SampleNodes);
197  uint64 closedTriads = 0;
198  uint64 openTriads = 0;
199  for (int i = 0; i < NIdCOTriadV.Len(); i++) {
200  closedTriads += NIdCOTriadV[i].Val2;
201  openTriads += NIdCOTriadV[i].Val3;
202  }
203  //IAssert(closedTriads/3 < (uint64) TInt::Mx);
204  //IAssert(openTriads < (uint64) TInt::Mx);
205  ClosedTriads = int64(closedTriads/3); // each triad is counted 3 times
206  OpenTriads = int64(openTriads);
207  return ClosedTriads;
208 }
209 
210 // Function pretends that the graph is undirected (count unique connected triples of nodes)
211 template <class PGraph>
212 void GetTriads(const PGraph& Graph, TIntTrV& NIdCOTriadV, int SampleNodes) {
213  const bool IsDir = Graph->HasFlag(gfDirected);
214  TIntSet NbrH;
215  TIntV NIdV;
216  TRnd Rnd(0);
217 
218  Graph->GetNIdV(NIdV);
219  NIdV.Shuffle(Rnd);
220  if (SampleNodes == -1) {
221  SampleNodes = Graph->GetNodes(); }
222  NIdCOTriadV.Clr(false);
223  NIdCOTriadV.Reserve(SampleNodes);
224  for (int node = 0; node < SampleNodes; node++) {
225  typename PGraph::TObj::TNodeI NI = Graph->GetNI(NIdV[node]);
226  if (NI.GetDeg() < 2) {
227  NIdCOTriadV.Add(TIntTr(NI.GetId(), 0, 0)); // zero triangles
228  continue;
229  }
230  // find neighborhood
231  NbrH.Clr(false);
232  for (int e = 0; e < NI.GetOutDeg(); e++) {
233  if (NI.GetOutNId(e) != NI.GetId()) {
234  NbrH.AddKey(NI.GetOutNId(e)); }
235  }
236  if (IsDir) {
237  for (int e = 0; e < NI.GetInDeg(); e++) {
238  if (NI.GetInNId(e) != NI.GetId()) {
239  NbrH.AddKey(NI.GetInNId(e)); }
240  }
241  }
242  // count connected neighbors
243  int OpenCnt=0, CloseCnt=0;
244  for (int srcNbr = 0; srcNbr < NbrH.Len(); srcNbr++) {
245  const typename PGraph::TObj::TNodeI SrcNode = Graph->GetNI(NbrH.GetKey(srcNbr));
246  for (int dstNbr = srcNbr+1; dstNbr < NbrH.Len(); dstNbr++) {
247  const int dstNId = NbrH.GetKey(dstNbr);
248  if (SrcNode.IsNbrNId(dstNId)) { CloseCnt++; } // is edge
249  else { OpenCnt++; }
250  }
251  }
252  IAssert(2*(OpenCnt+CloseCnt) == NbrH.Len()*(NbrH.Len()-1));
253  NIdCOTriadV.Add(TIntTr(NI.GetId(), CloseCnt, OpenCnt));
254  }
255 }
256 
257 // Count the number of edges that participate in at least one triad
258 template <class PGraph>
259 int GetTriadEdges(const PGraph& Graph, int SampleEdges) {
260  const bool IsDir = Graph->HasFlag(gfDirected);
261  TIntSet NbrH;
262  int TriadEdges = 0;
263  for(typename PGraph::TObj::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
264  NbrH.Clr(false);
265  for (int e = 0; e < NI.GetOutDeg(); e++) {
266  if (NI.GetOutNId(e) != NI.GetId()) {
267  NbrH.AddKey(NI.GetOutNId(e)); }
268  }
269  if (IsDir) {
270  for (int e = 0; e < NI.GetInDeg(); e++) {
271  if (NI.GetInNId(e) != NI.GetId()) {
272  NbrH.AddKey(NI.GetInNId(e)); }
273  }
274  }
275  for (int e = 0; e < NI.GetOutDeg(); e++) {
276  if (!IsDir && NI.GetId()<NI.GetOutNId(e)) { continue; } // for undirected graphs count each edge only once
277  const typename PGraph::TObj::TNodeI SrcNode = Graph->GetNI(NI.GetOutNId(e));
278  bool Triad=false;
279  for (int e1 = 0; e1 < SrcNode.GetOutDeg(); e1++) {
280  if (NbrH.IsKey(SrcNode.GetOutNId(e1))) { Triad=true; break; }
281  }
282  if (IsDir && ! Triad) {
283  for (int e1 = 0; e1 < SrcNode.GetInDeg(); e1++) {
284  if (NbrH.IsKey(SrcNode.GetInNId(e1))) { Triad=true; break; }
285  }
286  }
287  if (Triad) { TriadEdges++; }
288  }
289  }
290  return TriadEdges;
291 }
292 
293 // Returns number of undirected triads a node participates in
294 template <class PGraph>
295 int GetNodeTriads(const PGraph& Graph, const int& NId) {
296  int ClosedTriads=0, OpenTriads=0;
297  return GetNodeTriads(Graph, NId, ClosedTriads, OpenTriads);
298 }
299 
300 // Return number of undirected triads a node participates in
301 template <class PGraph>
302 int GetNodeTriads(const PGraph& Graph, const int& NId, int& ClosedTriads, int& OpenTriads) {
303  const typename PGraph::TObj::TNodeI NI = Graph->GetNI(NId);
304  ClosedTriads=0; OpenTriads=0;
305  if (NI.GetDeg() < 2) { return 0; }
306  // find neighborhood
307  TIntSet NbrSet(NI.GetDeg());
308  for (int e = 0; e < NI.GetOutDeg(); e++) {
309  if (NI.GetOutNId(e) != NI.GetId()) { // exclude self edges
310  NbrSet.AddKey(NI.GetOutNId(e)); }
311  }
312  if (Graph->HasFlag(gfDirected)) {
313  for (int e = 0; e < NI.GetInDeg(); e++) {
314  if (NI.GetInNId(e) != NI.GetId()) { // exclude self edges
315  NbrSet.AddKey(NI.GetInNId(e)); }
316  }
317  }
318  // count connected neighbors
319  for (int srcNbr = 0; srcNbr < NbrSet.Len(); srcNbr++) {
320  const typename PGraph::TObj::TNodeI SrcNode = Graph->GetNI(NbrSet.GetKey(srcNbr));
321  for (int dstNbr = srcNbr+1; dstNbr < NbrSet.Len(); dstNbr++) {
322  const int dstNId = NbrSet.GetKey(dstNbr);
323  if (SrcNode.IsNbrNId(dstNId)) { ClosedTriads++; }
324  else { OpenTriads++; }
325  }
326  }
327  return ClosedTriads;
328 }
329 
330 // Node NId and a subset of its neighbors GroupSet
331 // InGroupEdges ... triads (NId, g1, g2), where g1 and g2 are in GroupSet
332 // InOutGroupEdges ... triads (NId, g1, o1), where g1 in GroupSet and o1 not in GroupSet
333 // OutGroupEdges ... triads (NId, o1, o2), where o1 and o2 are not in GroupSet
334 template <class PGraph>
335 int GetNodeTriads(const PGraph& Graph, const int& NId, const TIntSet& GroupSet, int& InGroupEdges, int& InOutGroupEdges, int& OutGroupEdges) {
336  const typename PGraph::TObj::TNodeI NI = Graph->GetNI(NId);
337  const bool IsDir = Graph->HasFlag(gfDirected);
338  InGroupEdges=0; InOutGroupEdges=0; OutGroupEdges=0;
339  if (NI.GetDeg() < 2) { return 0; }
340  // find neighborhood
341  TIntSet NbrSet(NI.GetDeg());
342  for (int e = 0; e < NI.GetOutDeg(); e++) {
343  if (NI.GetOutNId(e) != NI.GetId()) { // exclude self edges
344  NbrSet.AddKey(NI.GetOutNId(e)); }
345  }
346  if (IsDir) {
347  for (int e = 0; e < NI.GetInDeg(); e++) {
348  if (NI.GetInNId(e) != NI.GetId()) {
349  NbrSet.AddKey(NI.GetInNId(e)); }
350  }
351  }
352  // count connected neighbors
353  for (int srcNbr = 0; srcNbr < NbrSet.Len(); srcNbr++) {
354  const int NbrId = NbrSet.GetKey(srcNbr);
355  const bool NbrIn = GroupSet.IsKey(NbrId);
356  const typename PGraph::TObj::TNodeI SrcNode = Graph->GetNI(NbrId);
357  for (int dstNbr = srcNbr+1; dstNbr < NbrSet.Len(); dstNbr++) {
358  const int DstNId = NbrSet.GetKey(dstNbr);
359  if (SrcNode.IsNbrNId(DstNId)) { // triad (NId, NbrId, DstNid)
360  bool DstIn = GroupSet.IsKey(DstNId);
361  if (NbrIn && DstIn) { InGroupEdges++; }
362  else if (NbrIn || DstIn) { InOutGroupEdges++; }
363  else { OutGroupEdges++; }
364  }
365  }
366  }
367  return InGroupEdges;
368 }
369 
370 // For each node count how many triangles it participates in
371 template <class PGraph>
372 void GetTriadParticip(const PGraph& Graph, TIntPrV& TriadCntV) {
373  TIntH TriadCntH;
374  for (typename PGraph::TObj::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
375  const int Triads = GetNodeTriads(Graph, NI.GetId());
376  TriadCntH.AddDat(Triads) += 1;
377  }
378  TriadCntH.GetKeyDatPrV(TriadCntV);
379  TriadCntV.Sort();
380 }
381 
382 template<class PGraph>
383 int GetCmnNbrs(const PGraph& Graph, const int& NId1, const int& NId2) {
384  TIntV NbrV;
385  return GetCmnNbrs(Graph, NId1, NId2, NbrV);
386 }
387 
388 // Get common neighbors between a pair of nodes (undirected)
389 template<class PGraph>
390 int GetCmnNbrs(const PGraph& Graph, const int& NId1, const int& NId2, TIntV& NbrV) {
391  if (! Graph->IsNode(NId1) || ! Graph->IsNode(NId2)) { NbrV.Clr(false); return 0; }
392  typename PGraph::TObj::TNodeI NI1 = Graph->GetNI(NId1);
393  typename PGraph::TObj::TNodeI NI2 = Graph->GetNI(NId2);
394  NbrV.Clr(false);
395  NbrV.Reserve(TMath::Mn(NI1.GetDeg(), NI2.GetDeg()));
396  TIntSet NSet1(NI1.GetDeg()), NSet2(NI2.GetDeg());
397  for (int i = 0; i < NI1.GetDeg(); i++) {
398  const int nid = NI1.GetNbrNId(i);
399  if (nid!=NId1 && nid!=NId2) {
400  NSet1.AddKey(nid); }
401  }
402  for (int i = 0; i < NI2.GetDeg(); i++) {
403  const int nid = NI2.GetNbrNId(i);
404  if (NSet1.IsKey(nid)) {
405  NSet2.AddKey(nid);
406  }
407  }
408  NSet2.GetKeyV(NbrV);
409  return NbrV.Len();
410 }
411 
412 template<>
413 inline int GetCmnNbrs<PUNGraph>(const PUNGraph& Graph, const int& NId1, const int& NId2, TIntV& NbrV) {
414  if (! Graph->IsNode(NId1) || ! Graph->IsNode(NId2)) { NbrV.Clr(false); return 0; }
415  const TUNGraph::TNodeI NI1 = Graph->GetNI(NId1);
416  const TUNGraph::TNodeI NI2 = Graph->GetNI(NId2);
417  int i=0, j=0;
418  NbrV.Clr(false);
419  NbrV.Reserve(TMath::Mn(NI1.GetDeg(), NI2.GetDeg()));
420  while (i < NI1.GetDeg() && j < NI2.GetDeg()) {
421  const int nid = NI1.GetNbrNId(i);
422  while (j < NI2.GetDeg() && NI2.GetNbrNId(j) < nid) { j++; }
423  if (j < NI2.GetDeg() && nid==NI2.GetNbrNId(j) && nid!=NId1 && nid!=NId2) {
424  IAssert(NbrV.Empty() || NbrV.Last() < nid);
425  NbrV.Add(nid);
426  j++;
427  }
428  i++;
429  }
430  return NbrV.Len();
431 }
432 
433 // get number of length 2 directed paths between a pair of nodes
434 // for a pair of nodes (i,j): |{u: (i,u) and (u,j) }|
435 template<class PGraph>
436 int GetLen2Paths(const PGraph& Graph, const int& NId1, const int& NId2) {
437  TIntV NbrV;
438  return GetLen2Paths(Graph, NId1, NId2, NbrV);
439 }
440 
441 // get number of length 2 directed paths between a pair of nodes
442 // for a pair of nodes (i,j): {u: (i,u) and (u,j) }
443 template<class PGraph>
444 int GetLen2Paths(const PGraph& Graph, const int& NId1, const int& NId2, TIntV& NbrV) {
445  const typename PGraph::TObj::TNodeI NI = Graph->GetNI(NId1);
446  NbrV.Clr(false);
447  NbrV.Reserve(NI.GetOutDeg());
448  for (int e = 0; e < NI.GetOutDeg(); e++) {
449  const typename PGraph::TObj::TNodeI MidNI = Graph->GetNI(NI.GetOutNId(e));
450  if (MidNI.IsOutNId(NId2)) {
451  NbrV.Add(MidNI.GetId());
452  }
453  }
454  return NbrV.Len();
455 }
456 
457 }; // mamespace TSnap
458 
460 // Node and Edge Network Constraint (by Ron Burt)
461 // works for directed and undirected graphs (but not for multigraphs)
462 template <class PGraph>
463 class TNetConstraint {
464 public:
465  PGraph Graph;
466  THash<TIntPr, TFlt> NodePrCH; // pairs of nodes that have non-zero network constraint
467 public:
468  TNetConstraint(const PGraph& GraphPt, const bool& CalcaAll=true);
469  int Len() const { return NodePrCH.Len(); }
470  double GetC(const int& ConstraintN) const { return NodePrCH[ConstraintN]; }
471  TIntPr GetNodePr(const int& ConstraintN) const { return NodePrCH.GetKey(ConstraintN); }
472  double GetEdgeC(const int& NId1, const int& NId2) const;
473  double GetNodeC(const int& NId) const;
474  void AddConstraint(const int& NId1, const int& NId2);
475  void CalcConstraints();
476  void CalcConstraints(const int& NId);
477  void Dump() const;
478  static void Test();
479 };
480 
481 template <class PGraph>
482 TNetConstraint<PGraph>::TNetConstraint(const PGraph& GraphPt, const bool& CalcaAll) : Graph(GraphPt) {
483  CAssert(! HasGraphFlag(typename PGraph::TObj, gfMultiGraph)); // must not be multigraph
484  if (CalcaAll) {
485  CalcConstraints();
486  }
487 }
488 
489 template <class PGraph>
490 double TNetConstraint<PGraph>::GetEdgeC(const int& NId1, const int& NId2) const {
491  if (NodePrCH.IsKey(TIntPr(NId1, NId2))) {
492  return NodePrCH.GetDat(TIntPr(NId1, NId2)); }
493  else {
494  return 0.0; }
495 }
496 
497 template <class PGraph>
498 double TNetConstraint<PGraph>::GetNodeC(const int& NId) const {
499  typename PGraph::TObj::TNodeI NI1 = Graph->GetNI(NId);
500  if (NI1.GetOutDeg() == 0) { return 0.0; }
501  int KeyId = -1;
502  for (int k = 0; k<NI1.GetOutDeg(); k++) {
503  KeyId = NodePrCH.GetKeyId(TIntPr(NI1.GetId(), NI1.GetOutNId(k)));
504  if (KeyId > -1) { break; }
505  }
506  if (KeyId < 0) { return 0.0; }
507  double Constraint = NodePrCH[KeyId];
508  for (int i = KeyId-1; i >-1 && NodePrCH.GetKey(i).Val1()==NId; i--) {
509  Constraint += NodePrCH[i];
510  }
511  for (int i = KeyId+1; i < NodePrCH.Len() && NodePrCH.GetKey(i).Val1()==NId; i++) {
512  Constraint += NodePrCH[i];
513  }
514  return Constraint;
515 }
516 
517 template <class PGraph>
518 void TNetConstraint<PGraph>::AddConstraint(const int& NId1, const int& NId2) {
519  if (NId1==NId2 || NodePrCH.IsKey(TIntPr(NId1, NId2))) {
520  return;
521  }
522  typename PGraph::TObj::TNodeI NI1 = Graph->GetNI(NId1);
523  double Constraint = 0.0;
524  if (NI1.IsOutNId(NId2)) { // is direct edge
525  Constraint += 1.0/(double) NI1.GetOutDeg();
526  }
527  const double SrcC = 1.0/(double) NI1.GetOutDeg();
528  for (int e = 0; e < NI1.GetOutDeg(); e++) {
529  const int MidNId = NI1.GetOutNId(e);
530  if (MidNId == NId1 || MidNId == NId2) { continue; }
531  const typename PGraph::TObj::TNodeI MidNI = Graph->GetNI(MidNId);
532  if (MidNI.IsOutNId(NId2)) {
533  Constraint += SrcC * (1.0/(double)MidNI.GetOutDeg());
534  }
535  }
536  if (Constraint==0) { return; }
537  Constraint = TMath::Sqr(Constraint);
538  NodePrCH.AddDat(TIntPr(NId1, NId2), Constraint);
539 }
540 
541 template <class PGraph>
542 void TNetConstraint<PGraph>::CalcConstraints() {
543  // add edges
544  for (typename PGraph::TObj::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
545  AddConstraint(EI.GetSrcNId(), EI.GetDstNId());
546  AddConstraint(EI.GetDstNId(), EI.GetSrcNId());
547  }
548  // add open triads
549  for (typename PGraph::TObj::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
550  for (int i = 0; i < NI.GetDeg(); i++) {
551  const int NId1 = NI.GetNbrNId(i);
552  for (int j = 0; j < NI.GetDeg(); j++) {
553  const int NId2 = NI.GetNbrNId(j);
554  AddConstraint(NId1, NId2);
555  }
556  }
557  }
558  NodePrCH.SortByKey();
559 }
560 
561 // calculate constraints around a node id
562 template <class PGraph>
563 void TNetConstraint<PGraph>::CalcConstraints(const int& NId) {
564  typename PGraph::TObj::TNodeI StartNI = Graph->GetNI(NId);
565  TIntSet SeenSet;
566  for (int e = 0; e < StartNI.GetOutDeg(); e++) {
567  typename PGraph::TObj::TNodeI MidNI = Graph->GetNI(StartNI.GetOutNId(e));
568  AddConstraint(NId, MidNI.GetId());
569  for (int i = 0; i < MidNI.GetOutDeg(); i++) {
570  const int EndNId = MidNI.GetOutNId(i);
571  if (! SeenSet.IsKey(EndNId)) {
572  AddConstraint(NId, EndNId);
573  SeenSet.AddKey(EndNId);
574  }
575  }
576  }
577 }
578 
579 template <class PGraph>
580 void TNetConstraint<PGraph>::Dump() const {
581  printf("Edge network constraint: (%d, %d)\n", Graph->GetNodes(), Graph->GetEdges());
582  for (int e = 0; e < NodePrCH.Len(); e++) {
583  printf(" %4d %4d : %f\n", NodePrCH.GetKey(e).Val1(), NodePrCH.GetKey(e).Val2(), NodePrCH[e].Val);
584  }
585  printf("\n");
586 }
587 
588 // example from page 56 of Structural Holes by Ronald S. Burt
589 // (http://www.amazon.com/Structural-Holes-Social-Structure-Competition/dp/0674843711)
590 template <class PGraph>
591 void TNetConstraint<PGraph>::Test() {
592  PUNGraph G = TUNGraph::New();
593  G->AddNode(0); G->AddNode(1); G->AddNode(2); G->AddNode(3);
594  G->AddNode(4); G->AddNode(5); G->AddNode(6);
595  G->AddEdge(0,1); G->AddEdge(0,2); G->AddEdge(0,3); G->AddEdge(0,4); G->AddEdge(0,5); G->AddEdge(0,6);
596  G->AddEdge(1,2); G->AddEdge(1,5); G->AddEdge(1,6);
597  G->AddEdge(2,4);
598  TNetConstraint<PUNGraph> NetConstraint(G, true);
599  // NetConstraint.CalcConstraints(0);
600  NetConstraint.Dump();
601  printf("middle node network constraint: %f\n", NetConstraint.GetNodeC(0));
602 }
603 
THashSet::Clr
void Clr(const bool &DoDel=true, const int &NoDelLim=-1)
Definition: shash.h:1237
IAssert
#define IAssert(Cond)
Definition: bd.h:262
TMath::Mn
static const T & Mn(const T &LVal, const T &RVal)
Definition: xmath.h:36
TIntPr
TPair< TInt, TInt > TIntPr
Definition: ds.h:83
TSnap::GetTriads
int64 GetTriads(const PGraph &Graph, int64 &ClosedTriads, int64 &OpenTriads, int SampleNodes=-1)
Computes the number of Closed and Open triads.
Definition: triad.h:194
TNetConstraint::CalcConstraints
void CalcConstraints()
Definition: triad.h:542
TRnd
Definition: dt.h:11
TInt::Val
int Val
Definition: dt.h:1043
TSnap::GetNodeClustCf
double GetNodeClustCf(const PGraph &Graph, const int &NId)
Returns clustering coefficient of a particular node.
Definition: triad.h:168
TNetConstraint::Test
static void Test()
Definition: triad.h:591
TSnap::GetLen2Paths
int GetLen2Paths(const PGraph &Graph, const int &NId1, const int &NId2)
Returns the number of length 2 directed paths between a pair of nodes NId1, NId2 (NId1 –> U –> NId2...
Definition: triad.h:436
TUNGraph::AddNode
int AddNode(int NId=-1)
Adds a node of ID NId to the graph.
Definition: graph.cpp:8
TVec::Len
TSizeTy Len() const
Returns the number of elements in the vector.
Definition: ds.h:535
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Node iterator. Only forward iteration (operator++) is supported.
Definition: graph.h:63
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PGraph Graph
Definition: triad.h:465
TSnap::GetCmnNbrs< PUNGraph >
int GetCmnNbrs< PUNGraph >(const PUNGraph &Graph, const int &NId1, const int &NId2, TIntV &NbrV)
Definition: triad.h:413
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static double Sqr(const double &x)
Definition: xmath.h:12
TNetConstraint::TNetConstraint
TNetConstraint(const PGraph &GraphPt, const bool &CalcaAll=true)
Definition: triad.h:482
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bool IsKey(const TKey &Key) const
Definition: shash.h:1142
THashSet::GetKey
const TKey & GetKey(const int &KeyId) const
Definition: shash.h:1135
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bool Empty() const
Tests whether the vector is empty.
Definition: ds.h:530
gfMultiGraph
have explicit edges (multigraph): TNEGraph, TNodeEdgeNet
Definition: gbase.h:14
TUNGraph::TNodeI::GetDeg
int GetDeg() const
Returns degree of the current node.
Definition: graph.h:82
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void Clr(const bool &DoDel=true, const TSizeTy &NoDelLim=-1)
Clears the contents of the vector.
Definition: ds.h:953
TVec::Sort
void Sort(const bool &Asc=true)
Sorts the elements of the vector.
Definition: ds.h:1218
HasGraphFlag
#define HasGraphFlag(TGraph, Flag)
For quick testing of the properties of the graph/network object (see TGraphFlag). ...
Definition: gbase.h:38
uint64
unsigned long long uint64
Definition: bd.h:38
TNetConstraint::AddConstraint
void AddConstraint(const int &NId1, const int &NId2)
Definition: triad.h:518
TNetConstraint::GetNodeC
double GetNodeC(const int &NId) const
Definition: triad.h:498
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static PUNGraph New()
Static constructor that returns a pointer to the graph. Call: PUNGraph Graph = TUNGraph::New().
Definition: graph.h:149
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int AddKey(const TKey &Key)
Definition: shash.h:1248
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int GetNodeTriads(const PGraph &Graph, const int &NId)
Returns the number of undirected triads a node NId participates in.
Definition: triad.h:295
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double GetC(const int &ConstraintN) const
Definition: triad.h:470
TFltPr
TPair< TFlt, TFlt > TFltPr
Definition: ds.h:99
TUNGraph::AddEdge
int AddEdge(const int &SrcNId, const int &DstNId)
Adds an edge between node IDs SrcNId and DstNId to the graph.
Definition: graph.cpp:84
TNetConstraint::Dump
void Dump() const
Definition: triad.h:580
gfDirected
directed graph (TNGraph, TNEGraph), else graph is undirected TUNGraph
Definition: gbase.h:13
TNetConstraint::GetEdgeC
double GetEdgeC(const int &NId1, const int &NId2) const
Definition: triad.h:490
CAssert
#define CAssert(Cond)
Definition: bd.h:302
THashSet::Len
int Len() const
Definition: shash.h:1115
int64
long long int64
Definition: bd.h:27
TSnap::GetTriadEdges
int GetTriadEdges(const PGraph &Graph, int SampleEdges=-1)
Counts the number of edges that participate in at least one triad.
Definition: triad.h:259
TVec::Shuffle
void Shuffle(TRnd &Rnd)
Randomly shuffles the elements of the vector.
Definition: ds.h:1235
TSnap::GetTriadParticip
void GetTriadParticip(const PGraph &Graph, TIntPrV &TriadCntV)
Triangle Participation Ratio: For each node counts how many triangles it participates in and then ret...
Definition: triad.h:372
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void GetKeyDatPrV(TVec< TPair< TKey, TDat > > &KeyDatPrV) const
Definition: hash.h:454
TSnap::GetClustCf
double GetClustCf(const PGraph &Graph, int SampleNodes=-1)
Computes the average clustering coefficient as defined in Watts and Strogatz, Collective dynamics of ...
Definition: triad.h:100
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TVal1 Val1
Definition: ds.h:34
TUNGraph::TNodeI::GetNbrNId
int GetNbrNId(const int &NodeN) const
Returns ID of NodeN-th neighboring node.
Definition: graph.h:101
TPair::Val2
TVal2 Val2
Definition: ds.h:35
THash::Clr
void Clr(const bool &DoDel=true, const int &NoDelLim=-1, const bool &ResetDat=true)
Definition: hash.h:315
TPt
Definition: bd.h:196
TNetConstraint::GetNodePr
TIntPr GetNodePr(const int &ConstraintN) const
Definition: triad.h:471
TIntTr
TTriple< TInt, TInt, TInt > TIntTr
Definition: ds.h:166
TVec::Gen
void Gen(const TSizeTy &_Vals)
Constructs a vector (an array) of _Vals elements.
Definition: ds.h:486
TVec::Reserve
void Reserve(const TSizeTy &_MxVals)
Reserves enough memory for the vector to store _MxVals elements.
Definition: ds.h:506
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THash< TIntPr, TFlt > NodePrCH
Definition: triad.h:466
TVec::Add
TSizeTy Add()
Adds a new element at the end of the vector, after its current last element.
Definition: ds.h:559
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int Len() const
Definition: hash.h:186
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TDat & AddDat(const TKey &Key)
Definition: hash.h:196
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int GetCmnNbrs(const PGraph &Graph, const int &NId1, const int &NId2)
Returns a number of shared neighbors between a pair of nodes NId1 and NId2.
Definition: triad.h:383
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const TKey & GetKey(const int &KeyId) const
Definition: hash.h:210
TNetConstraint::Len
int Len() const
Definition: triad.h:469