1. SOCIAL NETWORK ANALYSIS
basic concepts and techniques
SOCIAL NETWORK ANALYSIS

2. Creating, Storing, Sharing Data
Network
Graph
Clustering
Filtering
Graph metrics
Sociology
Roles
Social values
Social metrics
Incentives
Methodology
Interpretation
Validation
Aggregation
Creating, Storing, Sharing Data

6. Flickr – Social Engagements

7. Human Super-Connectors
Flickr users who commented on Marc_Smith’s photos (more than 4 times)

8. Human Super-Connectors
Flickr users who commented on Marc_Smith’s photos (more than 4 times)

9. Flickr – Network Analysis

10. Flickr – Network Analysis

11. US Senate Voting
Include only links that reflect more than 65% between two senators.
NodeXL – Open source project. Extension of Excel for network visualization.

12. US Senate Voting
Include party affiliation: Red for Republicants, Blue Democrats, 2 other parties.
NodeXL – Open source project. Extension of Excel for network visualization.

13. E-mail Communication – Organization Units
from TechABC High-traffic connections between organizational units > 50 messages per FTE. Color is mapped to Betweenness Centrality Green = bridge spanners. Excluded nodes with low Closeness Centrality Nodes within large connected components are shown.

15. The same data set in different layouts:
Fruchteman-Reingo
Grid
Spiral. 1 2 3

16. Fundamental issues Understanding of the tools that are applied
Understanding of the applied analysis
Understanding the relationship between the analysis and the layout algorithm used in visualization.
Visualization using Harel-Koren layout algorithm.
Sierpinski triangle is a fractal named after Waclaw Sierpinski who described it in 1915.
It is an example of self-similar sets, a mathematically generated pattern that is replicated at every level of reduction or magnification.

17. Large networks challenge human intuition and our technical ability to analyze and visualize data. Models learnt from data may not be in a representation that is suitable for human interpretation and modification. Computing specialist and domain experts need to work together to develop technologies, tools, and practices.

18. shaping the future
REFLECTIONS

19. Designing Social Platforms and Measuring Social Engagement
Seemingly small decisions make huge differences in shaping the community
We need to develop tools, methods, and metrics to help us assess the state of the community
We need to understand and shape human values and devise incentives to encourage desired behaviour.

20. Social Participation - Early Steps
College Park, MD, April 2009
Article: Science March 2009
Ben Shneiderman
BEN SHNEIDERMAN

22. Technology Mediated Social Participation
Community Informatics
Research Network

23. Social Media Research Foundation: smrfoundation.org
SMRF supports projects on tools, collections, analysis & visualization of social media data.  
Create open tools
Generate & host open data
Support open scholarship.

24. Analyzing Social Media Networks with NodeXL
I. Getting Started with Analyzing Social Media Networks Introduction to Social Media and Social Networks Social media: New Technologies of Collaboration Social Network Analysis II. NodeXL Tutorial: Learning by Doing Layout, Visual Design & Labeling Calculating & Visualizing Network Metrics  Preparing Data & Filtering Clustering &Grouping III Social Media Network Analysis Case Studies Threaded Networks Twitter Facebook   WWW Flickr YouTube  Wiki Networks 

25. Thank you! Contact: Natasa Milic-Frayling natasamf@microsoft.com
Integrated Systems
Microsoft Research Ltd.
Cambridge, U.K.