/**
*
* Copyright 2013 Davide Nunes Authors : Davide Nunes <davex.pt@gmail.com>
* Website : http://davidenunes.com
*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS HEADER.
*
* This file is part of network-api.
*
* network-api is free software: you can redistribute it and/or modify it under
* the terms of the GNU General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any later
* version.
*
* The network-api is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along with
* network-api. If not, see <http://www.gnu.org/licenses/gpl.html>.
*/
package org.bhave.network.model;
import org.apache.commons.configuration.ConfigurationException;
/**
* /
**
* <p>
* Defines an interface for the BarabasiAbert Network Model of preferential
* attachment. This model is an efficient version of {@link BAModel} using only
* the parameter d = 1. This means that each time a node is added to the
* network, only one link is created with preferential attachment. This process
* thus creates a connected forest graph / network. A forest is basically an
* acyclic graph.
* </p>
*
* <h2>Configuring The Model</h2>
* <p>
* You can either use the method {@link BAForestModel#configure(int, long)}
* present in the current interface or the general {@link NetworkModel#configure(org.apache.commons.configuration.Configuration)
* configure} method from the {@link NetworkModel} interface.
* </p>
*
* <h3>Model Parameters</h3> <b>numNodes</b> - number of nodes to be added to
* the network <br>
*
* <b>seed</b> - The seed to be used with the random number generator of this
* network model </p>
*
* <h2>Working with a model instance</h2> <code>
* Injector injector = Guice.createInjector(new NetworkModule());<br>
* BAForestModel model = injector.getInstance(BAForestModel.class);<br><br>
*
* Configuration config = model.getConfiguration();<br>
* config.setProperty("numNodes", 1000);<br>
* config.setProperty("seed", 0);<br><br>
*
* try{<br>
* model.configure(config);<br>
* }catch(ConfigurationException e){}<br><br>
* Network network = model.generate();<br>
* </code> <br>
*
*
* @author Davide Nunes
*
*/
public interface BAForestModel extends NetworkModel {
public static final String P_NUM_NODES = "numNodes";
/**
* Configures the model to be executed with a given number of nodes and a
* seed for the random number generator.
*
* @param numNodes the number of nodes to be created
*
*
* @param seed the random number generator seed
*/
void configure(int numNodes, long seed) throws ConfigurationException;
}