facebook networks analysis

Facebook Networks

Analysis

Mojtaba Khodadadi Advisor: Dr. Farhad Shahbazi

May 2014

• Gephi: is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs.

Introduction

Introduction

• Netvizz: is a tool that extracts data from different sections of the Facebook platform (personal profile, groups, pages) for research purposes. File outputs can be easily analyzed in standard software.

Introduction

Introduction

• Density: Measures how close the network is to complete. for complete graph density=1.

• Average Clustering Coefficient: The mean value of individual coefficients.

• Diameter: The longest graph distance between any two nodes in the network.

• Betweenness Centrality: Measures how often a node appears on shortest paths between nodes in the network.

Definitions

Definitions

• Closeness Centrality: The average distance from a given starting node to all other nodes in the network.

• Eccentricity: The distance from a given starting node to the farthest node from it in the network.

• Clustering Coefficient: Indicates how nodes are embedded in their neighborhood. (“What is the probability that two of my friends are also friends?”)

• Type: page like network

• Likes: 631,000

page like network: This module starts with a selected page (the "seed") and retrieves all the pages that page likes. It will continue until the specified crawl depth is reached (currently limited to 2). The output is a network containing a (directed) network of pages.

First Network: “ ”

First Network: “ ”

• Nodes: 34

• Edges: 72

• Directed

• Unweighted

• Avg degree: 2.118

• Graph density: 0.064

• Diameter: 4

• Avg path length: 2.632

• # shortest paths: 443

• Modularity: 0.66

• # communities: 5

• Avg clustering coef: 0.663

• Total Triangles: 30

First Network: “ ”

• Degree distribution

First Network: “ ”

• Betweenness Centrality distribution

First Network: “ ”

• Closeness Centrality distribution

First Network: “ ”

• Eccentricity distribution

First Network: “ ”

First Network: “ ”

• Nodes are ranked by betweenness centrality

• Clustering coefficient distribution

First Network: “ ”

• Nodes are ranked by clustering coefficient

First Network: “ ”

• Communities size distribution

First Network: “ ”

First Network: “ ”

• Nodes are ranked by betweenness centrality

• Type: like network

like network: This module creates a network from your friends and their likes (both users and liked objects are nodes). Only liked pages are taken into account, not external objects.

Second Network: “my facebook like network”

Second Network: “my facebook like network”

• Nodes: 8559

• Edges: 14015

• Directed

• Unweighted

• Avg degree: 1.637

• Graph density: 0.000

• Diameter: 1

• Avg path length: 1.0

• # shortest paths: 14015

• Modularity: 0.578

• # communities: 38

• Avg clustering coef: 0

• Total Triangles: 0

Second Network: “my facebook like network”

• Type: personal friend network

personal friend network: This module creates a network with all the friendship connections in your personal network

Third Network: “my facebook friends network”

Third Network: “my facebook friends network”

• Nodes: 68

• Edges: 620

• Directed

• Unweighted

• Avg degree: 7.647

• Graph density: 0.114

• Diameter: 5

• Avg path length: 1.825

• # shortest paths: 1524

• Modularity: 0.209

• # communities: 7

• Avg clustering coef: 0.548

• Total Triangles: 1833

Third Network: “my facebook friends network”

• Type: group

• Members: 3597

Group network: This module creates a network with all the friendship connections in the group.

Forth Network: “IUT” group

Forth Network: “IUT” group

• Nodes: 3597

• Edges: 30691

• Directed

• Unweighted

• Avg degree: 8.532

• Graph density: 0.002

• Diameter: 14

• Avg path length: 3.766

• # shortest paths: 2701550

• Modularity: 0.564

• # communities: 304

• Avg clustering coef: 0.285

• Total Triangles: 74277

Forth Network: “IUT” group

• Degree distribution => scale-free network

Forth Network: “IUT” group

• Type: group

• Members: 2813

Group network: This module creates a network with all the friendship connections in the group.

Fifth Network: “ ” group

Fifth Network: “ ” group

• Nodes: 2813

• Edges: 10251

• Directed

• Unweighted

• Avg degree: 7.288

• Graph density: 0.003

• Diameter: 13

• Avg path length: 4.526

• # shortest paths: 4543398

• Modularity: 0.653

• # communities: 666

• Avg clustering coef: 0.287

• Total Triangles: 17515

Fifth Network: “ ” group

• Degree distribution => scale-free network

Fifth Network: “ ” group

• “Quantum Information and Quantum Computer Scientists of the World Unite” group (1945 members): scale-free behaviour

• “Bill Gates” page (10,171,680 likes): scale-free behaviour

• “I fucking love science” page (15,887,023 likes): scale-free behaviour

Other Network that I analyzed

References

• “Studying Facebook via data extraction: the Netvizz application”, B.

Rieder, Proceedings of the 5th Annual ACM Web Science Conference,

Pages 346-355, DOI: 10.1145/2464464.2464475

• Netvizz: https://apps.facebook.com/netvizz/

• “Gephi: an open source software for exploring and manipulating networks”, M Bastian, S Heymann, M Jacomy - ICWSM, 2009.

• Gephi: https://gephi.org/