What is social network
analysis (SNA)?
SNA is a method/process for studying the
relationships between actors which include people, groups, organizations and
any other information processing network members. Through SNA, we can extract
the connection information between different nodes in order to figure out how can
we make best use of social network to create value.
1. Undirected case
For the given social network, we could
easily make out various features for analysis consideration. This social
network formed by 5 student with Degree Centrality given (L = 6, g = 5) .The
Density of this social network is 2L/g(g-1) = 0.6.
Network Matrix
Alice
|
Bob
|
Carol
|
David
|
Eva
|
|
Alice
|
-
|
1
|
1
|
1
|
-
|
Bob
|
1
|
-
|
-
|
1
|
-
|
Carol
|
1
|
-
|
-
|
1
|
-
|
David
|
1
|
1
|
1
|
-
|
1
|
Eva
|
-
|
-
|
-
|
1
|
-
|
Centrality analysis
If the geodesic distances are given, we
could further analyze the ‘Closeness’ and ‘Betweenness’ properties.
2.
Directed case
There is no doubt we can easily find out David is the key player in this network on the
undirected basis. But how about directed case?
Centrality analysis:
From the outgoing perspective, David is the
most influential actor. The Degree Centrality of each student is illustrated
below
C'D
|
|
Alice
|
0.25
|
Bob
|
0.25
|
Carol
|
0.25
|
David
|
1
|
Eva
|
0.25
|
Prestige analysis:
On the other hand, the Degree Prestige considers
the incoming direction and obviously Alice is the most prestigious actor in
this social network.
Degree Prestige
Degree Prestige
P'D
|
|
Alice
|
0.75
|
Bob
|
0.25
|
Carol
|
0.5
|
David
|
0.25
|
Eva
|
0.25
|
Distance Matrix
Alice
|
Bob
|
Carol
|
David
|
Eva
|
|
Alice
|
0
|
0
|
1
|
0
|
0
|
Bob
|
1
|
0
|
2
|
0
|
0
|
Carol
|
1
|
0
|
0
|
0
|
0
|
David
|
1
|
1
|
1
|
0
|
1
|
Eva
|
2
|
2
|
2
|
1
|
0
|
Based on the distance relationship table,
we can calculate the Proximity Prestige which considers how close all actors
are to the particular actors. Standardized Proximity Prestige equation is
Proximity Prestige table
Pp
|
|
Alice
|
0.8
|
Bob
|
0.33
|
Carol
|
0.67
|
David
|
0.25
|
Eva
|
0.25
|
The proximity has the same properties as
the actor closeness centrality index. When all actors are adjacent to point i,
its proximity prestige should be 1. While if point i is isolated, the result
should equal to 0. Here Alice own the highest proximity prestige, so she is the
most prestige person in this social network.

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