I have to say recent three class about social network analysis made me known more about social network on the model analysis part. I'd like to talk about my understanding on some basic measures and considerable application of social network analysis.
Social network
A social network is a social structure made up of individuals (or organizations) called "nodes", which are tied by one or more specific types of interdependency, such as friendship, kinship, common interest, financial exchange, dislike, sexual relationships, or relationships of beliefs, knowledge or prestige. Social network analysis views social relationships in terms of network theory consisting of nodes and ties. Nodes are the individual actors within the networks, and ties are the relationships between the actors. The resulting graph-based structures are often very complex. There can be many kinds of ties between the nodes. Research in a number of academic fields has shown that social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals succeed in achieving their goals. In its simplest form, a social network is a map of specified ties, such as friendship, between the nodes being studied.
The nodes to which an individual is thus connected are the social contacts of that individual. The network can also be used to measure social capital – the value that an individual gets from the social network. These concepts are often displayed in a social network diagram, where nodes are the points and ties are the lines.
Metrics in social network analysis
Betweenness
The extent to which a node lies between other nodes in the network. This measure takes into account the connectivity of the node's neighbors, giving a higher value for nodes which bridge clusters. The measure reflects the number of people who a person is connecting indirectly through their direct links.
Centrality
This measure gives a rough indication of the social power of a node based on how well they "connect" the network. "Betweenness", "Closeness", and "Degree" are all measures of centrality.
Centralization
The difference between the number of links for each node divided by maximum possible sum of differences. A centralized network will have many of its links dispersed around one or a few nodes, while a decentralized network is one in which there is little variation between the number of links each node possesses.
Closeness
The degree an individual is near all other individuals in a network (directly or indirectly). It reflects the ability to access information through the "grapevine" of network members. Thus, closeness is the inverse of the sum of the shortest distances between each individual and every other person in the network.
Prestige
In a directed graph prestige is the term used to describe a node's centrality. "Degree Prestige", "Proximity Prestige", and "Status Prestige" are all measures of Prestige.
Application of social network analysis (in organization management)
There are different levels to apply social network analysis (SNA) to organization management. The problems in organizations can be detected through internal SNA ( structure analysis) . By building the network dynamic models, the trend of organization evolving can be forecast. Through external inter-group network analysis, we can mine the role and position of the organization and discover the room for its development, so to assist the strategic management. In comparing the situation before and after the introduction of IT or other management methods, we can apply procedure control and quantificational measure for various management methods.