import conedy as co co.set("pcoMirollo_a" , 0.015) co.set("pcoMirollo_b" , 0.045) N = co.network() N.randomNetwork(1000, 0.01, co.pcoMirollo(),co.edge()) N.randomizeStates(co.pcoMirollo(), co.uniform(0.0, 1.0)) N.observeTime("order.dat") N.observePhaseCoherence("order.dat") N.evolve(0.0, 1000.0)
import conedy as co N = co.network() for i in range (0,10000): N.addNode (co.node ()) N.addRandomEdgesDegreeDistribution(co.uniform (0.0,100.0), co.edge() ) N.inDegreeDistribution("output/addRandomEdgesDegreeDistribution.py.degDist") print N.meanDegree()
import conedy as co N = co.network() firstNode = N.addNode(co.roessler()) secondNode = N.addNode(co.roessler()) N.addEdge(firstNode, secondNode, co.edge()) N.printNodeStatistics()
import conedy as co N = co.network() firstNode = N.addNode(co.roessler()) secondNode = N.addNode(co.roessler()) N.addEdge (firstNode,secondNode, co.edge() ) N.printNodeStatistics()