1. Visualizing Contacts and Connections Using NodeXL
Kristen Mastel |

2. z.umn.edu/ARLDDay18Networks www.smrfoundation.org/nodexl/installation/

3. Why do we study social networks?
Definition from: A social network is a social structure made up of a set of social actors (such as individuals or organizations) and a set of the dyadic ties between these actors. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. From "Sociometric explorations reveal the hidden structures that give a group its form: the alliances, the subgroups, the hidden beliefs, the forbidden agendas, the ideological agreements, the ‘stars’ of the show". In social networks (like Facebook and Twitter), sociometry can help us

4. Who uses networks?
Definition from: A social network is a social structure made up of a set of social actors (such as individuals or organizations) and a set of the dyadic ties between these actors. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. From "Sociometric explorations reveal the hidden structures that give a group its form: the alliances, the subgroups, the hidden beliefs, the forbidden agendas, the ideological agreements, the ‘stars’ of the show". In social networks (like Facebook and Twitter), sociometry can help us

5. Network Definitions & Visualization
Vertex (Node)
Labels & Attribute values
Edge (Link, Tie)
Directed/Undirected

6. UMN Visualizations St. Paul Campus Planning By Jan Fransen
Pure
Publications with multiple internal authors
...where at least one author is in St. Paul
City and Building based on Office info in PeopleSoft (when possible)
Best guess based on department when no info in PeopleSoft
Building latitude and longitude via Ryan Mattke

7. NodeXL

8. Gephi

9. Tableau
Tableau link

10. UMN Visualizations Who are the key players? By Kristen Mastel

11. Download Python & Allow Google Settings

14. Directions
Download the two attached files " _folders.py" and " _metadata.py"
Open a terminal
Go to the Downloads folder using by typing "cd Downloads" followed by enter.
Run the first script by typing "python _folders.py" followed by enter
Choose the folders you want to get information from by:
Open the file " _folders.txt" in a text editor of your choice (note this is a file created by the previous python code)
Each line as two pieces of information: the name of folder followed by a comma then the "label" as chosen by google's code. You can ignore everything after the comma
Delete all lines that contain files that you do NOT want to process (e.g. if you don't care about spam s delete the line containing "SPAM, SPAM")
Save this file (don't change the name)
Now run the second script by typing "python _metadata.py" followed by enter - this code will be slow because google only lets you do a certain number of requests per second. As the code is running it will print out which folder it's working on and it will print out each time it has processed 1000 more s.
You should now have a file named " _metadata<the-date>.csv" containing the information you want.

15. Departmental Analysis
I also could look at it by job codes, and not surprisingly educators and communications were my biggest users, but looking at by numbers not meaningful.. Looked at it by %

16. Errors!
Check for empty data.
Ask for help!

17. Who was tweeting at the Library Technology Conference?

19. UMN Ext

20. Practice

21. NodeXL Twitter
changing vertices colors on categories

22. Import - Twitter

23. Twitter data for #ARLD18 as of 4/26/2018

25. #infolit

26. #infolit

27. MIT Immersion immersion.media.mit.edu

28. What is Immersion? I : Seeing connections and groups by colors
Introduced by
Introduced to (more connections)
Don’t :
Can’t filter to specific folders
Can’t see related data
Lots of noise
What is Immersion?
Works with Gmail, Yahoo and MS Exchange
Gathers To, From, CC, and Timestamp info
Snapshot link good for 30 days
Can request info to be deleted

29. Immersion

30. Immersion

31. Immersion

32. References/Resources
Analyzing Social Media Networks: Learning by Doing with NodeXL
NodeXL for Beginners
Teaching with NodeXL