int main( int argc, char* argv[] ) {
char c;
while( (c = getopt( argc, argv, "+h" )) >= 0 ) {
if( c == 'h' ) {
usage( argv[0] );
return 0;
}
}
if( argc != optind ) {
usage( argv[0] );
return 1;
}
WeightedNetwork network = WeightedNetwork::readNetwork( cin );
for( vertex_t v1 = 0; v1 < network.vertexCount(); ++v1 ) {
for( vertex_t v2 = 0; v2 < network.vertexCount(); ++v2 ) {
if( v1 != v2 ) {
cout << network.translateIntToExt( v1 ) << " " << network.translateIntToExt( v2 ) << "\n";
}
}
}
return 0;
}
int main( int argc, char* argv[] ) {
char c;
while( (c = getopt( argc, argv, "+h" )) >= 0 ) {
if( c == 'h' ) {
usage( argv[0] );
return 0;
}
}
if( argc != optind + 1 ) {
usage( argv[0] );
return 1;
}
char* spec = argv[optind];
unsigned int currentDistance = 0;
unsigned int distance = strlen( spec );
vector<bool> direction( distance );
while( currentDistance < distance ) {
if( tolower( spec[currentDistance] ) == 'o' ) {
direction[currentDistance++] = true;
} else if( tolower( spec[currentDistance] ) == 'i' ) {
direction[currentDistance++] = false;
} else {
usage( argv[0] );
return 1;
}
}
WeightedNetwork network = WeightedNetwork::readNetwork( cin );
for( vertex_t v1 = 0; v1 < network.vertexCount(); ++v1 ) {
vector<bool> found = vector<bool>( network.vertexCount() );
vector<vertex_t> search;
found.at( v1 ) = true;
search.push_back( v1 );
for( currentDistance = 0; currentDistance < distance; ++currentDistance ) {
vector<vertex_t> newSearch;
for( vector<vertex_t>::const_iterator vertexIterator = search.begin(); vertexIterator != search.end(); ++vertexIterator ) {
const vertex_t searchVertex = *vertexIterator;
const neighbor_set_t& neighbors = direction[currentDistance] ? network.outNeighbors( searchVertex ) : network.inNeighbors( searchVertex );
for( neighbor_set_t::const_iterator neighborIterator = neighbors.begin(); neighborIterator != neighbors.end(); neighborIterator++ ) {
const vertex_t neighbor = neighborIterator->first;
if( !found.at( neighbor ) ) {
found.at( neighbor ) = true;
if( currentDistance == distance - 1 ) {
cout << network.translateIntToExt( v1 ) << " " << network.translateIntToExt( neighbor ) << "\n";
} else {
newSearch.push_back( neighbor );
}
}
}
}
search.swap( newSearch );
}
}
return 0;
}
VCP4DirectedLinkPredictor::VCP4DirectedLinkPredictor( const WeightedNetwork& network, const WeightedNetwork& completeNetwork ) : LinkPredictor(network,completeNetwork), connectedPairs( 0 ), amutualPairs( 0 ), mutualPairs( 0 ), unconnectedPairs( 0 ) {
// compute the total number of somehow-connected pairs in the graph
for( vertex_t i = 0; i < network.vertexCount(); ++i ) {
neighbor_set_t::const_iterator outIt = network.outNeighbors( i ).begin();
neighbor_set_t::const_iterator outEnd = network.outNeighbors( i ).end();
neighbor_set_t::const_iterator inIt = network.inNeighbors( i ).begin();
neighbor_set_t::const_iterator inEnd = network.inNeighbors( i ).end();
while( outIt != outEnd && outIt->first <= i ) {
++outIt;
}
while( inIt != inEnd && inIt->first <= i ) {
++inIt;
}
while( outIt != outEnd && inIt != inEnd ) {
++connectedPairs;
if( outIt->first < inIt->first ) {
++amutualPairs;
++outIt;
} else if( outIt->first > inIt->first ) {
++amutualPairs;
++inIt;
} else {
++mutualPairs;
++outIt;
++inIt;
}
}
while( outIt != outEnd ) {
++amutualPairs;
++connectedPairs;
++outIt;
}
while( inIt != inEnd ) {
++amutualPairs;
++connectedPairs;
++inIt;
}
}
unsigned long potentialConnections = (unsigned long)network.vertexCount() * (unsigned long)(network.vertexCount() - 1) / 2;
unconnectedPairs = potentialConnections - connectedPairs;
}
int main( int argc, char* argv[] ) {
char c;
while( (c = getopt( argc, argv, "+h" )) >= 0 ) {
if( c == 'h' ) {
usage( argv[0] );
return 0;
}
}
if( argc != optind + 1 ) {
usage( argv[0] );
return 1;
}
unsigned int distance = atoi( argv[optind++] );
WeightedNetwork network = WeightedNetwork::readNetwork( cin );
for( vertex_t vertex = 0; vertex < network.vertexCount(); vertex++ ) {
WeightedNetwork snowball = network.snowballSample( vertex, distance ).removeIsolates();
cout << snowball.vertexCount() << " " << snowball.edgeCount() << "\n";
}
return 0;
}
WeightedTriangleLinkPredictor::WeightedTriangleLinkPredictor( const WeightedNetwork& network, int selection = -1 ) : LinkPredictor( network ), selection( selection ) {
if( this->selection > -1 ) {
return;
}
weight_t allCounts[graphlets] = {0};
for( vertex_t vertex = 0; vertex < network.vertexCount(); ++vertex ) {
const neighbor_set_t& outNeighbors = network.outNeighbors( vertex );
for( neighbor_set_t::const_iterator neighborIterator = outNeighbors.begin(); neighborIterator != outNeighbors.end(); ++neighborIterator ) {
const vertex_t neighbor = neighborIterator->first;
weight_t vCounts[graphlets] = {0};
this->edgeProfile( vertex, neighbor, vCounts );
for( size_t i = 0; i < graphlets; ++i ) {
allCounts[i] += vCounts[i];
}
}
}
for( size_t i = 0; i < graphlets; ++i ) {
this->counts[i] = (weight_t)allCounts[i] / network.edgeCount();
}
}
int main( int argc, char* argv[] ) {
char c;
while( (c = getopt( argc, argv, "+h" )) >= 0 ) {
if( c == 'h' ) {
usage( argv[0] );
return 0;
}
}
if( argc != optind ) {
usage( argv[0] );
return 1;
}
WeightedNetwork network = WeightedNetwork::readNetwork( cin );
for( vertex_t vertex = 0; vertex < network.vertexCount(); vertex++ ) {
cout << network.eccentricity( vertex ) << "\n";
}
return 0;
}