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;
}
Exemple #2
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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;
}