PLEASE
INSTALL
GEPHI
http://gephi.github.io/
Mac Problems?: http://bit.ly/1OktlQP
PC Problems?: http://bit.ly/1WM1mLf
SOCIAL NETWORK�ANALYSIS �(methods)�
WHO IS THE
MOST INFLUENTIAL
PERSON ON
TWITTER?
76.2M Followers, Following 157
68.1M Followers, Following 236k
64.7M Followers, Following 640k
64.4M Followers, Following 244
A SIMPLE SOCIAL NETWORK
NODE
EDGE
SOCIAL
NETWORK
def. A set of relationships, often defined as a set of “nodes” or individuals, and the ties or “edges” between them
DIRECTED EDGE
UNDIRECTED EDGE
TYPES OF DYADS
No Tie/Edge
Asymmetric Edge
Symmetric Tie/Edge
DEGREE
def. The total number of edges
connected to each node in a network
IN-DEGREE
def. The total number of edges
with arrows that point towards a node in a network.
OUT-DEGREE
def. The total number of edges
with arrows that point away a node in a network.
Very High In-Degree
Very Low Out-Degree
Very High In-Degree
Very High Out-Degree
CENTRALITY
MEASURES
The person
with the most
followers is the
most important
The person
who follows the
most people is the
most important
The person
who is in between
The largest
clusters of people
Is the most important
The person
who is in the
Middle of the
largest cluster
is the most
important
Node Size=
Higher
Closeness
Centrality
Color=
Degree
Centrality
Which nodes are connected
to other nodes that are
themselves most influential?
LET’S MEASURE
THE CENTRALITY
OF CELEBRITIES
ON TWITTER
http://bit.ly/2lcvBC9
Download the Network Data for Gephi Here:
…AND THE WINNER IS:
WHAT CREATES
CLUSTERING
WITHIN
NETWORKS?
HOMOPHILY
def. The tendency for people to have network ties to those who are very similar to themselves (i.e. “birds of a feather flock together”).