The result is graph-based structures which are often very complex to understand and analyze. Nodes represent the individual actors within the networks, while edges visualize the relationships between those actors. SNA researchers conceptualize social relationships in terms of nodes and edges (links) in mathematical graphs. Social Network Analysis (SNA) is a beautiful blend of Sociology and Mathematics, composed of various interdisciplinary techniques for the study of such social networks.

But, social networks operate on many more levels, from family relations and disease spreading up to the level of company strategies, social movements or even nations.įurthermore, research in many scientific areas has shown that social networks are important when we study the way problems are solved, diseases are spread, organizations are run, and the degree to which individuals succeed in achieving their goals. by common interests, shared values, financial exchanges, friendship, dislike, etc).įor instance, your friends and you form a social network. Feel free to checkout our source code development tree.Ī Social Network is the social structure which facilitates communication between a group of actors (individuals or organizations) that are related somehow (i.e. If you are a C++/Qt developer, you can help our project with new features and bugfixes. If you are interested in the algorithms behind Social Network Visualizer, you can browse the annotated version of the source code. This is the Manual of SocNetV which is divided into the following sections: Social Networks are created or imported from files and are drawn as graphs, where vertices depict actors or agents and edges represent their ties. Social Network Visualizer (SocNetV) is a cross-platform, user-friendly free software application for social network analysis and visualization.

Cycle of network analysis definition