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Facebook Networks Analysis

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This is a presentation of the analysis of 8 Facebook networks. The data of these networks was generated by NetVizz app in Facebook. The analysis was performed by Gephi. This project was done as the final project of "Advanced Statistical Mechanics 2" course with Dr. Farhad Shahbazi at Isfahan University of Technology - Spring 2014

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Facebook Networks Analysis

  1. 1. Facebook Networks Analysis Mojtaba Khodadadi Advisor: Dr. Farhad Shahbazi May 2014
  2. 2. • Gephi: is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Introduction
  3. 3. Introduction
  4. 4. • 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
  5. 5. Introduction
  6. 6. • 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
  7. 7. 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?”)
  8. 8. • 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: “ ”
  9. 9. First Network: “ ”
  10. 10. • 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: “ ”
  11. 11. • Degree distribution First Network: “ ”
  12. 12. • Betweenness Centrality distribution First Network: “ ”
  13. 13. • Closeness Centrality distribution First Network: “ ”
  14. 14. • Eccentricity distribution First Network: “ ”
  15. 15. First Network: “ ” • Nodes are ranked by betweenness centrality
  16. 16. • Clustering coefficient distribution First Network: “ ”
  17. 17. • Nodes are ranked by clustering coefficient First Network: “ ”
  18. 18. • Communities size distribution First Network: “ ”
  19. 19. First Network: “ ” • Nodes are ranked by betweenness centrality
  20. 20. • 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”
  21. 21. Second Network: “my facebook like network”
  22. 22. • 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”
  23. 23. • 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”
  24. 24. Third Network: “my facebook friends network”
  25. 25. • 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”
  26. 26. • Type: group • Members: 3597 Group network: This module creates a network with all the friendship connections in the group. Forth Network: “IUT” group
  27. 27. Forth Network: “IUT” group
  28. 28. • 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
  29. 29. • Degree distribution => scale-free network Forth Network: “IUT” group
  30. 30. • Type: group • Members: 2813 Group network: This module creates a network with all the friendship connections in the group. Fifth Network: “ ” group
  31. 31. Fifth Network: “ ” group
  32. 32. • 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
  33. 33. • Degree distribution => scale-free network Fifth Network: “ ” group
  34. 34. • “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
  35. 35. 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/

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