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Social Network Detecting Tools

BTT-Scope uses automatic social network detecting tools using criteria such as; Degrees, Betweenness, and Closeness.

Degrees
Social network research is measure network activity for a node by using the concept of degrees: the number of direct connections a node has. In the kite network, "Mr. Brown" has the most direct connections in the network, making him the most active node in the network. He is a “connector” in this network. Common wisdom in personal networks is “the better it is, the more connections you have”. This is not always so. What really matters is where those connections lead to and how they connect or unconnected. "Mr. Brown" has connections only to "Mr. Red" in his immediate cluster. He connects only those who are already connected to each other.

Betweenness
While "Mr. Brown" has many direct ties, "Mr. Anonym" has few direct connections, fewer than the average in the network. But, he has one of the best locations in the network, he is between two important constituencies. He plays a 'broker' role in the network. The good news is that he plays a powerful role in the network, the bad news is that he is a single point of failure. Without him, "Mr. Yellow" and "Mrs. Dark" would be cut off from information and knowledge in "Mr. Brown"'s cluster. A node with high betweenness has great influence over what flows in the network. A node like "Mr. Anonym" holds a lot power over the outcomes in a network.

Closeness
"Mr. White" and "Mr. Brooks" have fewer connections than "Mr. Brown", yet the pattern of their direct and indirect ties allow them to access all the nodes in the network more quickly than anyone else. They have the shortest paths to all "Mr. Red", they are close to everyone else. They are in an excellent position to monitor the information flow in the network. They have the best visibility into what is happening in the network.

 
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