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AuthorManager.cpp
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#include"node.h"
#include"Evaluation.h"
#include<queue>
#define USESQRT false
extern KeywordManager km;
extern PaperManager pm;
extern AuthorManager am;
extern VenueManager vm;
extern Evaluation elv;
extern NameManager nm;
extern AffiliationManager afm;
extern bool outputflag;
bool vsimioutputflag;
#define DEFAULT_MINSIM 1e-7
#define DEFAULT_MAXSIM 1e-3
#define DEFAULT_THRES1 0.25
#define DEFAULT_THRES2 0.1
#define NAMESIZE 4100000
#define max(x,y) (x)>(y)? (x):(y)
int nrule1 = 0, nrule2 = 0, nrule3 = 0, nrule4 = 0, nrule5 = 0, nrule6 = 0, nrule7 = 0, nrule8 = 0, nrule9 = 0;
/*
* case 0 : top k; k = size-amr
* case 1 : mean*amr
* case 2 : top 1
* case 3 : gap.
*/
int thresholdCase = 0;
enum ClusterCase { CASEMCL, CASEHIE, CASEAP };
ClusterCase clusterCase = CASEHIE;
AuthorManager::AuthorManager() {
MINSIM = DEFAULT_MINSIM;
MAXSIM = DEFAULT_MAXSIM;
Thres1 = DEFAULT_THRES1;
outputclusters = false;
AID = 0;
for (int i = 0; i<1024*8; i++)
logs[i] = log((double)(i + 1)) + 1;
}
void AuthorManager::init() {
namesize = nm.getNameSize();
//getFiles(elv.elvationDir,fnames);
int reservesize = max(NAMESIZE, 5 * namesize);
author_forests = new vector<AuthorForestLayer>[reservesize];
outputLayers = new AuthorForestLayer[reservesize];
leafAuthorVectors = new vector<Author*>[reservesize];
paperNumber = new int[reservesize];
memset(paperNumber, 0, sizeof(int)*reservesize);
MINSIM = DEFAULT_MINSIM;
MAXSIM = DEFAULT_MAXSIM;
Thres1 = DEFAULT_THRES1;
outputclusters = false;
}
void AuthorManager::clear() {
for (int i = 0; i < namesize; i++) {
for (auto author : leafAuthorVectors[i]) {
if (author != NULL)
delete author;
}
vector<AuthorForestLayer> &author_forest = author_forests[i];
for (auto &layer : author_forest) {
delete[] layer.apairs;
vector<NonLeafAuthor*>().swap(layer.authors);
layer.apairs = NULL;
layer.apairLen = -1;
}
author_forest.clear();
leafAuthorVectors[i].clear();
}
delete [] leafAuthorVectors;
delete [] author_forests;
cout << "\t\t\t\t\t am author_vector_lists clear ok\r";
leafAuthorVectors = NULL;
author_forests = NULL;
delete [] paperNumber;
paperNumber = NULL;
cout << "\t\t\t\t\t am paperNumber clear ok\r";
MINSIM = DEFAULT_MINSIM;
MAXSIM = DEFAULT_MAXSIM;
Thres1 = DEFAULT_THRES1;
outputclusters = false;
AID = 0;
}
void AuthorManager::init(double minsim, double maxsim) {
init();
MINSIM = minsim;
MAXSIM = maxsim;
}
void AuthorManager::init(bool flag) {
outputclusters = flag;
init();
}
AuthorManager::~AuthorManager() {
}
void AuthorManager::setAlltoOld() {
for (int nid = 0; nid < namesize; nid++) {
if (author_forests[nid].size() == 0)
continue;
for (auto &layer : author_forests[nid]) {
for (auto author : layer.authors) {
author->updated = false;
author->coauthor_update = false;
author->del = false;
}
}
}
}
//add author to paper
Author* AuthorManager::addAuthor(const string &name, Paper * pa) {
int nid = nm.getNameId(name);
if (nid == -1) {
return NULL;
}
vector<Author*> & authorVector = leafAuthorVectors[nid];
paperNumber[nid]++;
AUTHOR_NUMBER_TYPE aid = AID++;
Author *au = new Author(nid, aid);
au->addPaper(pa);
authorVector.push_back(au);
return au;
}
int AuthorManager::currentSize() {
int sum = 0;
for (int ite = 0; ite<namesize; ite++)
if (author_forests[ite].size()>0)
sum += author_forests[ite][author_forests[ite].size() - 1].authors.size();
return sum;
}
int AuthorManager::initSize() {
int sum = 0;
for (int ite = 0; ite<namesize; ite++)
if (leafAuthorVectors[ite].size()>0)
sum += leafAuthorVectors[ite].size();
return sum;
}
void AuthorManager::createAtom() {
namesize = nm.getNameSize();
int dels = 0, total = 0, dels1 = 0;
int max = 0;
int assignLength = 1024*8;
bool * assigned = new bool[assignLength];
memset(assigned, 0, sizeof(bool) * assignLength);
calInitAuthorNumbers();
for (int nid = 0; nid < namesize; nid++) {
string now_name = nm.getName(nid);
if (leafAuthorVectors[nid].size() <= 1)
continue;
vector<Author*> &authorVector = leafAuthorVectors[nid];
while (authorVector.size() > assignLength) {
delete[] assigned;
assignLength *= 2;
assigned = new bool[assignLength];
}
//reassign
memset(assigned, 0, sizeof(bool) * assignLength);
if (author_forests[nid].size() == 0) {
AuthorForestLayer layer;
layer.apairLen = 0;
layer.apairs = NULL;
author_forests[nid].push_back(layer);
//cout << "nid " << nid << "\t" << now_name << "push a new layer" << endl;
}
AuthorForestLayer &layer = author_forests[nid][0];
for(int aindex1=0;aindex1<authorVector.size(); aindex1++){
if (assigned[aindex1]) {
continue;
}
assigned[aindex1] = true;// assigned
set<int> set1;// author set of paper1
int begin = -1;
int end = -1;
set<int> veset;
int yeari = -1;
NonLeafAuthor *non_leaf_author = new NonLeafAuthor(nid, AID++);
non_leaf_author->merge(authorVector[aindex1]);
layer.authors.push_back(non_leaf_author);
Paper *paper1 = authorVector[aindex1]->paper;
for (int i = 0; i < paper1->authorsize; i++) {
if (paper1->authors[i]->nid != nid)
set1.insert(paper1->authors[i]->nid);
}
begin = paper1->year;
end = paper1->year;
if (paper1->vid != -1)
veset.insert(paper1->vid);
yeari = paper1->year;
for (int aindex2 = aindex1 + 1; aindex2 < authorVector.size();aindex2++) {
if (assigned[aindex2]) {
continue;
}
Paper *paper2 = authorVector[aindex2]->paper;
Author ** authors2 = paper2->authors;
int vid2 = paper2->vid;
int yearj = paper2->year;
int samecoauthorcount = 0;
//Coauthor
bool merged = false;
if(!nm.isCn(nid) && min_author_nums[nid]==1)
merged = true;
else
for (int i = 0; i < paper2->authorsize; i++) {
int nidtemp = paper2->authors[i]->nid;
if (paperNumber[nidtemp] >= 500)
continue;
if (set1.find(nidtemp) != set1.end()) {//find a name
samecoauthorcount++;
if (nm.getAmb(nidtemp) < 5)
samecoauthorcount++;
if (vid2 != -1 && veset.find(vid2) != veset.end() && abs(yeari - yearj) < 3
) {//has two same name coauthor, combine them
merged = true;
}
else if (samecoauthorcount == 3 || nm.getAmb(nid) < 4) {
merged = true;
}
}
}
int count = 0;
if (merged) {
assigned[aindex2] = true;
non_leaf_author->merge(authorVector[aindex2]);
dels++;
Author ** authors2 = (paper2)->authors;
for (int ai = 0; ai < paper2->authorsize; ai++) {
if (authors2[ai]->nid != nid)
set1.insert(authors2[ai]->nid);
}
if (vid2 != 0)
veset.insert(vid2);
if (paper2->year > end)
end = paper2->year;
else if (paper2->year < begin)
begin = paper2->year;
}
}
}
}
delete[] assigned;
}
/*
*/
void AuthorManager::inc_createAtom() {
namesize = nm.getNameSize();
int assignLength = 1024;
bool * assigned = new bool[assignLength];
memset(assigned, 0, sizeof(bool) * assignLength);
calInitAuthorNumbers();
for (int nid = 0; nid < namesize; nid++) {
string now_name = nm.getName(nid);
if (leafAuthorVectors[nid].size() <= 1)
continue;
vector<Author*> &authorVector = leafAuthorVectors[nid];
int splitNmb = 0;
for (splitNmb = 0; splitNmb <authorVector.size(); splitNmb++) {
if (authorVector[splitNmb]->updated)
break;
}
if (splitNmb == authorVector.size())
continue;
//[0,splitNmb) old, (splitNmb, ] new
while (authorVector.size() > assignLength) {
delete[] assigned;
assignLength *= 2;
assigned = new bool[assignLength];
}
//reassign
memset(assigned, 0, sizeof(bool) * assignLength);
if (author_forests[nid].size() == 0) {
AuthorForestLayer layer;
layer.apairLen = 0;
layer.apairs = NULL;
author_forests[nid].push_back(layer);
//cout << "nid " << nid << "\t" << now_name << "push a new layer" << endl;
}
AuthorForestLayer &layer = author_forests[nid][0];
set<NonLeafAuthor*> non_leaf_authors_has_been_calculated;
for (int aindex1 = 0; aindex1 < splitNmb; aindex1++) {
set<int> set1;// author set of paper1
int begin = -1;
int end = -1;
set<int> veset;
int yeari = -1;
NonLeafAuthor * author = authorVector[aindex1]->father;
if (non_leaf_authors_has_been_calculated.find(author) == non_leaf_authors_has_been_calculated.end())
non_leaf_authors_has_been_calculated.insert(author);
else
continue;
if (author == NULL) {
cout << "ERROR HERE author father is lost!!!!" << endl;
exit(1);
}
for (auto paper : author->papers) {
for (int i = 0; i < paper->authorsize; i++) {
if (paper->authors[i]->nid != nid)
set1.insert(paper->authors[i]->nid);
}
if (paper->vid != -1)
veset.insert(paper->vid);
}
yeari = author->papers[0]->year;
begin = author->begin;
end = author->end;
for (int aindex2 = splitNmb; aindex2 < authorVector.size(); aindex2++) {
if (assigned[aindex2]) {
continue;
}
Paper *paper2 = authorVector[aindex2]->paper;
Author ** authors2 = paper2->authors;
int vid2 = paper2->vid;
int yearj = paper2->year;
int samecoauthorcount = 0;
//Coauthor
bool merged = false;
if(!nm.isCn(nid) && min_author_nums[nid]<=1)
merged = true;
else
for (int i = 0; i < paper2->authorsize; i++) {
int nidtemp = paper2->authors[i]->nid;
if (paperNumber[nidtemp] >= 500)
continue;
if (set1.find(nidtemp) != set1.end()) {//find a name
samecoauthorcount++;
if (nm.getAmb(nidtemp) < 5)
samecoauthorcount++;
if (vid2 != -1 && veset.find(vid2) != veset.end() && abs(yeari - yearj) < 3
) {//has two same name coauthor, combine them
merged = true;
}
else if (samecoauthorcount == 3 || nm.getAmb(nid) < 4) {
merged = true;
}
}
}
int count = 0;
if (merged) {
assigned[aindex2] = true;
NonLeafAuthor temp(nid,AID++);
temp.merge(authorVector[aindex2]);
temp.calRs();
author->merge(&temp);
authorVector[aindex2]->father = author;
Author ** authors2 = (paper2)->authors;
for (int ai = 0; ai < paper2->authorsize; ai++) {
if (authors2[ai]->nid != nid)
set1.insert(authors2[ai]->nid);
}
if (vid2 != 0)
veset.insert(vid2);
if (paper2->year > end)
end = paper2->year;
else if (paper2->year < begin)
begin = paper2->year;
}
}
}
for (int aindex1 = splitNmb; aindex1<authorVector.size(); aindex1++) {
if (assigned[aindex1]) {
continue;
}
assigned[aindex1] = true;// assigned
set<int> set1;// author set of paper1
int begin = -1;
int end = -1;
set<int> veset;
int yeari = -1;
NonLeafAuthor *non_leaf_author = new NonLeafAuthor(nid, AID++);
non_leaf_author->merge(authorVector[aindex1]);
layer.authors.push_back(non_leaf_author);
Paper *paper1 = authorVector[aindex1]->paper;
for (int i = 0; i < paper1->authorsize; i++) {
if (paper1->authors[i]->nid != nid)
set1.insert(paper1->authors[i]->nid);
}
begin = paper1->year;
end = paper1->year;
if (paper1->vid != -1)
veset.insert(paper1->vid);
yeari = paper1->year;
for (int aindex2 = aindex1 + 1; aindex2 < authorVector.size(); aindex2++) {
if (assigned[aindex2]) {
continue;
}
Paper *paper2 = authorVector[aindex2]->paper;
Author ** authors2 = paper2->authors;
int vid2 = paper2->vid;
int yearj = paper2->year;
int samecoauthorcount = 0;
//Coauthor
bool merged = false;
if(!nm.isCn(nid) && min_author_nums[nid]<=1)
merged = true;
else
for (int i = 0; i < paper2->authorsize; i++) {
int nidtemp = paper2->authors[i]->nid;
if (paperNumber[nidtemp] >= 500)
continue;
if (set1.find(nidtemp) != set1.end()) {//find a name
samecoauthorcount++;
if (nm.getAmb(nidtemp) < 5)
samecoauthorcount++;
if (vid2 != -1 && veset.find(vid2) != veset.end() && abs(yeari - yearj) < 3
) {//has two same name coauthor, combine them
merged = true;
}
else if (samecoauthorcount == 3 || nm.getAmb(nid) < 4) {
merged = true;
}
}
}
int count = 0;
if (merged) {
assigned[aindex2] = true;
non_leaf_author->merge(authorVector[aindex2]);
Author ** authors2 = (paper2)->authors;
for (int ai = 0; ai < paper2->authorsize; ai++) {
if (authors2[ai]->nid != nid)
set1.insert(authors2[ai]->nid);
}
if (vid2 != 0)
veset.insert(vid2);
if (paper2->year > end)
end = paper2->year;
else if (paper2->year < begin)
begin = paper2->year;
}
non_leaf_author->calRs();
}
}
}
delete[] assigned;
//delete the author node
}
void AuthorManager::set1stLayerNbrsUpdated() {
int count = 0;
for (int nid = 0; nid < nm.getNameSize(); nid++) {
if (author_forests[nid].size() == 0)
continue;
AuthorForestLayer &layer = author_forests[nid][0];
for (auto author : layer.authors) {
if(author->updated)
for (map<NonLeafAuthor*, two_int>::iterator aite = author->a2s->begin(); aite != author->a2s->end(); aite++) {
if (nm.getAmb(aite->first->nid) < 1.0 / Thres1) {
aite->first->coauthor_update = true;
count++;
}
}
}
}
}
/*
*Initialize the similarity between authors with the same name and store the top K.
*/
void AuthorManager::initSim() {
for (int ite = 0; ite < namesize; ite++) {
if (author_forests[ite].size() == 0)
continue;
AuthorForestLayer &layer = author_forests[ite][0];
vector<NonLeafAuthor *> &authors = layer.authors;
int authorNumber = layer.authors.size();
if (authorNumber <=1)
continue;
float w1 = 1.0 / nm.getAmb(ite);
vector<author_pair_sim> allpairs;
for (int i = 0; i != authorNumber; i++) {
for (int j = i + 1; j != authorNumber; j++) {
float simi = calSim(authors[i], authors[j], w1);
if (simi > 0) {
author_pair_sim aij(i, j, simi);
allpairs.push_back(aij);
}
}
}
sort(allpairs.begin(), allpairs.end());
int apairLen = authorNumber;
if (apairLen > allpairs.size())
apairLen = allpairs.size();
layer.apairLen = apairLen;
author_pair_sim * apairs = new author_pair_sim[apairLen];
for (int i = 0; i < apairLen; i++) {
apairs[i] = allpairs[i];
//cout << "apairss[ite][i]\t" << i<<"\t"<<apairss[ite][i].ai << "\t" << apairss[ite][i].aj << "\t" << apairss[ite][i].score << endl;
}
layer.apairs = apairs;
}
}
void AuthorManager::outputInitAuthorNumber(string & fpath) {
ofstream fout(fpath);
for (int i = 1; i < namesize; i++) {
string name = nm.getName(i);
int nid = i;
if (leafAuthorVectors[i].size()==0) {
continue;
}
fout << name << "\t" << leafAuthorVectors[i].size()<< endl;
}
fout.close();
}
/*
* calculate the relation strength between each reference and othe type nodes(T,V,A)
*/
void AuthorManager::calRs() {
int count = 0;
int update_count = 0;
cout << "begin to calculate relatedness score" << endl;
cout << "nameszie\t" << namesize << endl;
for (int ite = 0; ite<namesize; ite++) {
if (author_forests[ite].size() == 0)
continue;
AuthorForestLayer & layer = author_forests[ite][0];
if (layer.authors.size()<= 1)
continue;
for (int i = 0; i < layer.authors.size(); i++) {
if (layer.authors[i]->updated) {
layer.authors[i]->calRs();
update_count++;
}
}
if (++count % 100 == 0) {
cout << "calculate relationship strength\t" << count <<"\t"<< update_count<<"\r";
}
}
cout << "calculate relationship strength\t" << count <<"\t" << update_count<<endl;
}
void AuthorManager::setThres(double thres1) {
Thres1 = thres1;
}
/*
* Merge the node in an iterative way
* Store the internal process
*/
void AuthorManager::iterate() {
int count = 0;
bool * flags = (bool*)malloc(sizeof(bool)*namesize);
memset(flags, 0, sizeof(bool)*namesize);
long clustertime = 0, updatetime = 0, simitime = 0, threstime = 0;
time_t begin, end, tbegin, tcurrent;
time(&tbegin);
queue<int> que;
for (int nid = 0; nid<namesize; nid++)
que.push(nid);
while (!que.empty()) {
int nid = que.front();
que.pop();
++count;
if (author_forests[nid].size() == 0){
continue;
}
float amr = nm.getAmb(nid);
AuthorForestLayer &layer = author_forests[nid][author_forests[nid].size() - 1];
int authorsize = layer.authors.size();
if (authorsize == 1 || authorsize<=amr) {
layer.authors[0]->updated = false;
continue;
}
// if(nid==406){
// int sum=0,sum1=0;
// for (int ai = 0; ai < authorsize; ai++) {
// sum1 += layer.authors[ai]->papers.size();
// if (layer.authors[ai]->del)
// continue;
// sum += layer.authors[ai]->papers.size();
// }
// cout<<"Bing Liu "<< sum<< "\t"<< sum1 <<endl;
// }
if (authorsize>500 || count % 10000 == 0)
cout << nm.getName(nid) << "\tsize\t" << authorsize << "\tqueue size\t" << que.size() << "\t\n";
time(&begin);
float w1 = 1.0 / amr;
time(&begin);
float Tcluster = MINSIM * amr;
//---------------------------------threshold---------------------------------
int diffamr = authorsize - amr;
if (diffamr <= 0)
diffamr = 1;
if (diffamr>4)
diffamr = (int)(diffamr / 2);
int psize = authorsize * (authorsize - 1) / 2;
author_pair_sim * apairs = layer.apairs;
int apairLen = layer.apairLen;
set<int> updated;
vector<author_pair_sim> allpairs;
vector<NonLeafAuthor *> &authors = layer.authors;
for(int ai = 0;ai<authorsize;ai++){
if (authors[ai]->updated) {
updated.insert(ai);
for (int aj = ai+1; aj < authorsize; aj++) {
float sim = calSim(authors[ai], authors[aj], w1);
if (sim > 0)
allpairs.push_back(author_pair_sim(ai, aj, sim));
}
authors[ai]->updated = false;
}
}
// put the ones without update
for (int api = 0; api < apairLen; api++) {
allpairs.push_back(apairs[api]);
}
if (updated.size() != 0) {
sort(allpairs.begin(), allpairs.end());
}
int index = diffamr;
if (index >= allpairs.size())
index = allpairs.size() - 1;
//norm by Tcluster
while (index >= 0 && allpairs[index].score < Tcluster) {
index--;
}
if (index == -1) {
flags[nid] = true;
continue;
}
if (allpairs[index].score > Tcluster)
index++;
//norm by MAXSIM
while (index < allpairs.size() && allpairs[index].score > MAXSIM) {
index++;
}
if (index == allpairs.size())
index--;
int * assigned = new int[authorsize];
for (int ai = 0; ai < authorsize; ai++)
assigned[ai] = ai;
for (int i = 0; i < index; i++)
assigned[allpairs[i].ai] = allpairs[i].aj;
uniFind(assigned, authorsize);
apairLen = authorsize;
if (apairLen > allpairs.size())
apairLen = allpairs.size();
if (apairLen == 0) {
layer.apairLen = 0;
layer.apairs = NULL;
}
else if (layer.apairLen != apairLen) {
delete[] layer.apairs;
layer.apairs = new author_pair_sim[apairLen];
layer.apairLen = apairLen;
}
for (int i = 0; i < apairLen; i++)
layer.apairs[i] = allpairs[i];
time(&begin);
//------------------------------clustering-------------------------------
map<int,int> label2size;
for (int assi = 0; assi < authorsize; assi++) {
if (assigned[assi] == -1) {
cout << "ERROR in iteration assigned -1" << endl;
exit(1);
}
int label = assigned[assi];
if (label2size.find(label) == label2size.end())
label2size[label] = 1;
else
label2size[label] += 1;
}
int new_authorsize = label2size.size();
if (new_authorsize != authorsize){
//---------------------------------update---------------------------------
// reassign the assignment from 0 to n
time(&begin);
AuthorForestLayer new_layer;
for (auto label2sizePair : label2size) {
int label = label2sizePair.first;
NonLeafAuthor *author = NULL;
author = new NonLeafAuthor(nid, AID++);
for (int assi = 0; assi < authorsize; assi++) {
if (assigned[assi] == label) {
author->merge(authors[assi]);
assigned[assi] = -1;
}
}
if (label2sizePair.second > 1) {// no need to create new node
update(que, flags, author);
}
new_layer.authors.push_back(author);
}
time(&end);
updatetime += difftime(end, begin);
//update all pairs
apairLen = allpairs.size();
vector<author_pair_sim> newallpair;
for (int api = 0; api < allpairs.size(); api++) {
int oindex1 = allpairs[api].ai;
int oindex2 = allpairs[api].aj;
int nindex1 = assigned[oindex1];
int nindex2 = assigned[oindex2];
if (nindex1 == -1 || nindex2 == -1) // nodes has been updated.
continue;
newallpair.push_back(author_pair_sim(nindex1, nindex2, allpairs[api].score));
}
apairLen = newallpair.size();
if (apairLen > authorsize)
apairLen = authorsize;
new_layer.apairLen = apairLen;
if (apairLen > 0) {
new_layer.apairs = new author_pair_sim[apairLen];
for (int j = 0; j < apairLen; j++) {
new_layer.apairs[j] = newallpair[j];
}
}
else
new_layer.apairs = NULL;
que.push(nid);
author_forests[nid].push_back(new_layer);
}
else {
flags[nid] = true;
}
delete[] assigned;
}
delete flags;
}
/*
* Merge the node in an iterative way
* Store the internal process
*/
void AuthorManager::inc_iterate() {
int count = 0;
bool * flags = new bool[namesize];
memset(flags, 0, sizeof(bool)*namesize);
int * current_layers = new int[namesize];
memset(current_layers, 0, sizeof(int)*namesize);
queue<int> que;
set<int> update_set;
for (int nid = 0; nid < namesize; nid++) {
//flags[nid] = true;//debug HERE!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
if (author_forests[nid].size() == 0)
continue;
for (auto author : author_forests[nid][0].authors) {
if (author->updated) {//delete author->coauthor_update
que.push(nid);
update_set.insert(nid);
//flags[nid] = false;
break;
}
}
}
int count1 = 0; int count2 = 0;
cout << "initial que size "<<que.size() << endl;
while (!que.empty()) {
int nid = que.front();
que.pop();
++count;
if (author_forests[nid].size() == 0) {
continue;
}
float amr = nm.getAmb(nid);
int current_layer = current_layers[nid];
if (current_layer >= author_forests[nid].size()) {
cout << "BUG HERE layer out of range" << endl;
flags[nid] = true;
continue;
}
AuthorForestLayer &layer = author_forests[nid][current_layer];
int authorsize = layer.authors.size();
if (authorsize <= amr ) {
flags[nid] = false;
continue;
}
float w1 = 1.0 / amr;
float Tcluster = MINSIM * amr;
//---------------------------------threshold---------------------------------
int diffamr = authorsize - amr;
if (diffamr <= 0)
diffamr = 1;
if (diffamr > 4)
diffamr = (int)(diffamr / 2);
int psize = authorsize * (authorsize - 1) / 2;
author_pair_sim * apairs = layer.apairs;
int apairLen = layer.apairLen;
set<int> updated;
vector<author_pair_sim> allpairs;
vector<NonLeafAuthor *> &authors = layer.authors;
// put the ones without update
for (int api = 0; api < apairLen; api++) {
if (authors[apairs[api].ai]->updated || authors[apairs[api].aj]->updated || authors[apairs[api].ai]->coauthor_update || authors[apairs[api].aj]->coauthor_update)
continue;
allpairs.push_back(apairs[api]);
}
// if diffamr > allpairs then need to recalculate the whole to find topK to merge
//if (diffamr > allpairs.size()) {
// allpairs.clear();
// for (int ai = 0; ai < authorsize; ai++) {
// authors[ai]->coauthor_update = true;
// }
//}
for (int ai = 0; ai < authorsize; ai++) {
if (authors[ai]->del)
continue;
if (authors[ai]->updated || authors[ai]->coauthor_update) {
updated.insert(ai);
for (int aj = ai + 1; aj < authorsize; aj++) {
if (authors[aj]->del)
continue;
float sim = calSim(authors[ai], authors[aj], w1);
if (sim > Tcluster)
allpairs.push_back(author_pair_sim(ai, aj, sim));
}
}
}
if (updated.size() == 0) {
flags[nid] = true;
continue;
}
if (authorsize > 500 || count % 10000 == 0)
cout << nm.getName(nid) << "\tsize\t" << authorsize << "\tqueue size\t" << que.size() << "\t" << current_layers[nid] << "\tupdated size"<< updated.size()<<"\n";
//debug
if(nid==406){
int sum=0,sum1=0;
for (int ai = 0; ai < authorsize; ai++) {
sum1 += authors[ai]->papers.size();
if (authors[ai]->del)
continue;
sum += authors[ai]->papers.size();
}
cout<<"Bing Liu "<< sum<< "\t"<< sum1 <<endl;
}
if (allpairs.size() == 0) {
for (int ai = 0; ai <authorsize; ai++) {
if (authors[ai]->del)
continue;
authors[ai]->updated = false;
authors[ai]->coauthor_update = false;
layer.apairLen = 0;
layer.apairs = NULL;
}
flags[nid] = true;
continue;
}
sort(allpairs.begin(), allpairs.end());
int index = diffamr;
if (index >= allpairs.size())
index = allpairs.size() - 1;
//update author_pair_sim * apairs = layer.apairs; and ;
apairLen = authorsize;
if (apairLen > allpairs.size())
apairLen = allpairs.size();
if (apairLen <= 0) {
layer.apairLen = 0;
layer.apairs = NULL;
}
else if (layer.apairLen!=apairLen){
delete[] layer.apairs;
layer.apairs = new author_pair_sim[apairLen];
layer.apairLen = apairLen;
}
for (int i = 0; i < apairLen; i++)
layer.apairs[i] = allpairs[i];
//-----------------------------------------------------------------------------------
//norm by MAXSIM
while (index < allpairs.size() && allpairs[index].score > MAXSIM) {
index++;
}
if (index == allpairs.size())
index--;
int * assigned = new int[authorsize];
for (int ai = 0; ai < authorsize; ai++)
assigned[ai] = ai;
for (int i = 0; i <= index; i++)
assigned[allpairs[i].ai] = allpairs[i].aj;
uniFind(assigned, authorsize);
map<NonLeafAuthor*, int> author2label;
for(int ai=0;ai<authorsize;ai++){
if(authors[ai]->del)
assigned[ai]=-1;
}
for (int i = 0; i < authorsize; i++)
author2label[authors[i]] = assigned[i];