This week, we were given insights into how network analysis
is done on social networking sites. We
all logged into our LinkedIn accounts and created InMaps. Apparently, this was one of those things
which we were not aware of, before this class.
So, what is an InMap??
As the name says, it is nothing but a map which is used to convey some
information. It is just a visual
representation of your social network. But, little did we know about the
process behind these inmaps until our Professor briefed it to us. This process
is called NETWORK ANALYSIS, the results of which are portrayed as InMaps (on LinkedIn).
These InMaps have different nodes and connections between them. These nodes are
different people that a user is connected to and the connections between them
are based on the interaction between people.
So, this is what LinkedIn uses as its social graph. Different social graphs are
available now and each one has a different way of portraying information. Our Professor also asked us one interesting
question in class – How would it be if Twitter had a social graph like
LinkedIn? Many students came up with different ideas and we had an interesting
discussion.
When I was returning home after the class, I was wondering how a Facebook
social graph would look like. I have never seen a graph like that on Facebook. However,
I have seen InMaps on LinkedIn and I know how these graphs are made. So, I sat
in a corner of the house and started pondering about different ways of
representing Facebook data.
As we all know, Facebook has a lotta different things unlike
twitter/LinkedIn. In InMaps, the nodes
represented people/users of LinkedIn. But, when it comes to Facebook, you can
have different types of nodes. One for
the users, other for the groups and another for the pages.
When you have fixed the nodes, next task is to determine the connections
between them. You can use one or more
parameters to do this. The most common way of doing it is by determining the
frequency of comments posted between the two nodes. Another alternative is,
using the number of ‘like’s.
Let nodes for users be represented by a small circle, nodes
for groups be represented by a square and pages can be represented by a small
diamond. We can all now start visualizing the maps.
You would be connected to all of your friends, apparently.
And you would also see connections from your node to the groups (represented by
squares) which you are a part of. Some groups can also have some of your friends
as its members. So, the connection goes from your node to the group node and
then to your friend’s node.
Remember, you and your friend are connected by another
connection, too! But, there can never exist a connection between two groups!
Connections for Pages can be represented in the same way as
Groups.
Facebook has tons and tons of data and a lot of different
dimensions or features. You can come up with different ways to represent those
data or information. What I have discussed here is purely my imagination and
your views or opinions are most welcome!