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GraphStream -- Algorithms

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The GraphStream project is java library that provides a API to model, analyze and visualize graphs and dynamic graphs.

Check out the Website http://www.graphstream-project.org/ for more information.

This package is dedicated to graph and dynamic graph algorithms.

Installing GraphStream

The release comes with a pre-packaged jar file named gs-algo.jar that contains the GraphStream algorithms classes. It depends on the root project gs-core. To start using GraphStream with algorithms, simply put gs-core.jar and gs-algo.jar in your class path. You can download GraphStream on the github releases pages:

Maven users may include major releases of gs-core and gs-algo as dependencies:

<dependencies>
    <dependency>
        <groupId>org.graphstream</groupId>
        <artifactId>gs-core</artifactId>
        <version>2.0</version>
    </dependency>

    <dependency>
        <groupId>org.graphstream</groupId>
        <artifactId>gs-algo</artifactId>
        <version>2.0</version>
    </dependency>
</dependencies>

Development Versions

Using https://jitpack.io one can also use any development version. Simply add the jitpack repository to the pom.xml of the project:

<repositories>
    <repository>
        <id>jitpack.io</id>
        <url>https://jitpack.io</url>
    </repository>
</repositories>

then, add the gs-core and gs-algo to your dependencies:

<dependencies>
    <dependency>
        <groupId>com.github.graphstream</groupId>
        <artifactId>gs-core</artifactId>
        <version>2.0</version>
    </dependency>
    <dependency>
        <groupId>com.github.graphstream</groupId>
        <artifactId>gs-algo</artifactId>
        <version>2.0</version>
    </dependency>
</dependencies>

You can use any version of gs-core and gs-algo you need, provided they are the same. Simply specify the desired version in the <version> tag. The version can be a git tag name (e.g. 2.0), a commit number, or a branch name followed by -SNAPSHOT (e.g. dev-SNAPSHOT). More details on the possible versions on jitpack.

Help

You may check the documentation on the website http://graphstream-project.org. You may also share your questions on the mailing list at http://sympa.litislab.fr/sympa/subscribe/graphstream-users.

License

See the COPYING file.

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Graphstream algo

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