public void GenerateBAModelWithAging(int n, int m0, int m, double v)
{
RunWithProgressBar(() =>
{
var network = _networkGenerator.GenerateBarabasiAlbertModelWithAging(n, m0, m, v);
var wrapper = new NetworkWrapper($"BA_{BACounter++}", network, network.GetIncidenceMatrix());
Networks.Add(wrapper);
OnNetworkAdd?.Invoke(wrapper);
});
}
public void LoadNetwork(string path, int rowsToSkip)
{
RunWithProgressBar(() =>
{
var(network, incidenceMatrix) = _networkFileLoader.LoadNetwork(path, rowsToSkip);
string fileName = Path.GetFileNameWithoutExtension(path);
var wrapper = new NetworkWrapper(fileName, network, incidenceMatrix);
Networks.Add(wrapper);
OnNetworkAdd?.Invoke(wrapper);
});
}
public void CreateNetworkFromCommunity(string networkName, string communityName)
{
var network = GetNetwork(networkName);
var community = network.Communities.Single(e => e.Id.ToString() == communityName);
// cloning because new nodes must be used
var newNetwork = new Network(community.Nodes).Clone();
var newNetworkWrapper = new NetworkWrapper($"{networkName} - {communityName}", newNetwork, newNetwork.GetIncidenceMatrix());
Networks.Add(newNetworkWrapper);
OnNetworkAdd?.Invoke(newNetworkWrapper);
}
private void GetNetworkPlot(NetworkWrapper network)
{
string tempFileName = TempFileHelper.CreateTmpFile();
string script = RScriptCreator.CreatePlotNetworkScript(tempFileName, network.Network, network.Communities);
REngineRunner.RunFromCmd(script);
Bitmap bitmap;
using (var fs = File.Open(tempFileName, FileMode.Open))
{
bitmap = new Bitmap(fs);
}
TempFileHelper.DeleteTmpFile(tempFileName);
network.Plot = bitmap;
OnNetworkPlotUpdate?.Invoke(network);
}
private void InitNetwork(NetworkWrapper network)
{
//RunWithProgressBar(() =>
//{
// network.Network.ComputeClusteringCoefficient();
// network.Stats.ClusteringCoefficient = network.Network.GetGlobalClusteringCoefficient();
// OnNetworkStatsUpdate?.Invoke(network);
//});
RunWithProgressBar(() =>
{
network.DistanceMatrix = network.IncidenceMatrix.GetDistanceMatrix();
network.Stats.MeanDistance = network.DistanceMatrix.GetMeanDistance();
network.Stats.ClosenessCentrality = network.DistanceMatrix.GetClosenessCentralityVector().Average;
network.Stats.Diameter = network.DistanceMatrix.GetDiameter();
network.Network.ComputeClusteringCoefficient();
network.Stats.ClusteringCoefficient = network.Network.GetGlobalClusteringCoefficient();
OnNetworkStatsUpdate?.Invoke(network);
});
RunWithProgressBar(() =>
{
network.Stats.DegreeCentrality = network.Network.GetAverageDegree();
network.Stats.Edges = network.Network.Edges;
network.Stats.Nodes = network.Network.Nodes.Count;
network.Stats.Components = network.Network.CountComponents();
OnNetworkStatsUpdate?.Invoke(network);
});
RunWithProgressBar(() =>
{
GetNetworkPlot(network);
});
}