1. +

2. Centrality - Influence

3. Betweeness - Bridge

4. http://www. worldrecordsacademy

5. BiPartite

6. 1 is in Org A, B
2 is in Org A
Change people to interests

7. Matrix
Network Graph i j W 1 2 3 4 5 6
Edge List
w/Weights
Matrix

8. I j W A B 1 C 2
Edge List
Matrix
Network Graph

10. +
Group Member

11. Divide and Conquer Data Processing Visualization Weights: ‘tnet’ Gephi
Graphviz

12. tnet

13. Matrix

15. Group - Member
method=“newman”

16. Relationship of Characters in the book Les Miserables

19. Import

24. Strength of Weak Ties

27. Eigenvector Centrality

28. Degree – Weighted Degree
Hub - PageRank

30. Betweenness
A measure of connectedness between (sub)components of the graph
5/4/2019

33. Silicon Valley Members with first name A-D
15 Startup Meetups each with Members

34. Picking the Right Layout

35. Paul Butler, from his Facebook page:
“I defined weights for each pair of cities as a function of the Euclidean distance between them and the number of friends between them. “
“I plotted lines between the pairs by weight, so that pairs of cities with the most friendships between them were drawn on top of the others.”