Editing Social network analysis (section)

====Key terms====
There are several key terms associated with social network analysis research in computer-supported collaborative learning such as: '''density''', '''centrality''', '''indegree''', '''outdegree''', and '''sociogram'''.
* '''Density''' refers to the "connections" between participants.  Density is defined as the number of connections a participant has, divided by the total possible connections a participant could have.  For example, if there are 20 people participating, each person could potentially connect to 19 other people. A density of 100% (19/19) is the greatest density in the system.  A density of 5% indicates there is only 1 of 19 possible connections.<ref name=":0" />
* '''Centrality''' focuses on the behavior of individual participants within a network.  It measures the extent to which an individual interacts with other individuals in the network.  The more an individual connects to others in a network, the greater their centrality in the network.<ref name=":0" /><ref name=":1" />

In-degree and out-degree variables are related to centrality.
* '''In-degree''' centrality concentrates on a specific individual as the point of focus; centrality of all other individuals is based on their relation to the focal point of the "in-degree" individual.<ref name=":0" />
* '''Out-degree''' is a measure of centrality that still focuses on a single individual, but the analytic is concerned with the out-going interactions of the individual; the measure of out-degree centrality is how many times the focus point individual interacts with others.<ref name=":0" /><ref name=":1" />
* A '''sociogram''' is a visualization with defined boundaries of connections in the network. For example, a sociogram which shows out-degree centrality points for Participant A would illustrate all outgoing connections Participant A made in the studied network.<ref name=":0" />