It often feels like we make friends through random series of encounters, so you might think that social networks must look random too, however like we studied in this class they aren’t,

The Network I chose is Facebook, the most popular social media platform with an estimate of 900 million monthly users. Most of you in this room are on Facebook, and for those of us who aren’t, you for a fact know someone on facebook. I chose facebook to write about because I feel like it is almost identical to actual real life social networks.

Some of the topics I’m going to write about are the following
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1. Hubs: People in real life and people on facebook cluster into groups which have hubs. The hubs are usually the social butterflies who know everyone, talk to everyone, and introduce their friends to one another. IF you look at your faceook friends you might have like two large clusters of friends….
This brings me to my second main topic. Small world networks

2. Small world Networks: Facebook is an example of a small world network because through these key people we are all connected to each other through only a few steps. Facebook’s “6 degrees of separation” is actually 4.74. When I moved to university It felt like the degrees of separation on face book was only 1. say story Dheeraj and amman.

3. The third thing Im going to try to do is break down facebook into network science basics.

For example:

All out accounts are nodes
If we follow someone, that’s a directed link
If we are friends with someone that’s an undirected network

The celebrities with millions of likes are directed hubs, I think cristiano ronaldo is has the most popular page on facebook with a 100 million likes

And Finally how facebook uses high clustering coefficients to recommend friends

Look at how richer get richer with respect to facebook
Preferential attachment
How posts go viral and shit