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Social network
For online communication platforms, see social network service .
For the film, see The Social Network .
The social networks are social structures composed of groups of people, which are connected by one or more types of relationships, such as friendship, kinship, common interests or share knowledge and ideas of free expression. There may be many types of links between nodes.Multidisciplinary research has shown that social networks operate on many levels, from the relations of kinship to the relations of organizations at the State level (in this case speaking of policy networks), playing a critical role in determining the political agenda and the degree to which individuals or organizations reach their goals or are influenced.
The analysis of social networks studiesthis social structure by applying the Theory of graphs and identifying entities such as "nodes" or "vertices" and relations such as "links" or "edges". The structure of the resulting graph is often very complex. As he has been said, in its simplest form, a social network is a map of all the relevant links between all the nodes studied. Refers in this case to network "Partner Central" or "complete".Another option is to identify the network that surrounds a person (in different social contexts in which interacts); in this case refers to "personal network".
The social network can also be used to measure social capital (i.e. the value that an individual obtains the resources available through your social network). These concepts are shown, often in a diagram where the nodes are points and ties,lines.
Social networking is also often refer to the platforms on the Internet. The social Internet networks whose purpose is to facilitate communication and other social issues on the web site .
Metrics (measures) in social network analysis
Intermediation
The extent in which a node lies between o4ether nodes in a network. This measure takes into account the connectivity of the neighbors ofnode, giving added value to the nodes that connect to groups. The measure reflects the number of people a person connecting indirectly through their direct links. 20
Connector
A loop can be called connector if disposal causes the points that connect to become components other than a graph.
Centrality
This measure gives an approximate idea of the social power of a node based on the well that is"connect" to the network. "Brokering", "Closeness" and "Grade" are all measures of centrality.
Centralization
The difference between the number of links for each node divided by the maximum amount possible differences. A centralized network will have many of its links dispersed around one or a few nodal points, while a decentralized network is one in which there is little variation between thenumber of links each node possesses.
Proximity
The degree in which a person is close to all the others in a network (directly or indirectly). It reflects the ability to access the information through the "network of gossip" of the members of the network. Thus, closeness is the inverse of the sum of the shortest distances between each individual and each of the other people in the network. (Seealso: Proxemics). The shortest path is also known as the "GEODESIC distance".
Clustering coefficient
A measure of the probability that two people linked to a node associated themselves. A higher clustering coefficient indicates a greater 'exclusivity'.
Cohesion
The degree in which the actors are interconnected directly by links cohesive. Groups are identified as 'clicks' if every individual islinked directly with each other,social circles'if there is less stringency in direct contact and this is inmpreciso, or blocks of structural cohesion if the accuracy is required. 21
Grade
The count of the number of links with other actors in the network. See also degree (graph theory) .
(Individual level) Density
The degree of relationship of a defendant to get to know each other /...