Social Network Analysis Made Easy

8eb0387f354fd8a09690f059acd4a58f?s=47 Jeff Mohr
October 28, 2014

Social Network Analysis Made Easy

More than ever, we need to learn how to harness the power of networks to tackle the complex issues we're facing as a society. Here's a quick guide to the basics of social network analysis.

Interested? Sign up at http://kumu.io

8eb0387f354fd8a09690f059acd4a58f?s=128

Jeff Mohr

October 28, 2014
Tweet

Transcript

  1. 2.

    happiness is best predicted by the breadth & depth of

    one’s social connections. - Robert Putnam
  2. 4.

    reason #1 The challenges we face are so complex they

    can’t be solved by any one organization.
  3. 5.

    The urgency and scale of social problems, coupled with the

    limited results to date, cry out for new approaches. - Jane Wei-Skillern, Nora Silver and Eric Heitz “Cracking the Network Code”
  4. 7.

    Organizations have been the lever through which we try to

    create social change for far too long. ! We have to bring people together across sectors, from within and outside government, and from all walks of life.
  5. 10.

    Information doesn’t flow along organizational hierarchies. ! Networks are a

    far more accurate picture of how work gets done. org charts lie!
  6. 12.

    The status quo is a result of the web of

    relationships and incentives among stakeholders (including us). ! It’s not that we’re “stuck” — it’s that competing interests provide a balancing effect that resists change.
  7. 16.

    • Identifying change leaders • Breaking down silos • Evaluating

    progress • Driving innovation social impact increasing
  8. 17.

    • Weaving stronger connections • Bridging across silos • Reducing

    crime • Improving resilience stronger communities building
  9. 18.

    ORGANIZATION PERFORMANCE • Promoting effective collaboration • Avoiding burn out

    • Selecting new leaders • Uncovering informal structures improving
  10. 22.

    Data can be collected via survey, pulled from existing data

    sources or populated via personal knowledge. surveys Data Knowledge Pull from spreadsheets, CRMs, public data, email traffic, social networks and more Surveys ask participants both relational and demographic questions Use the wisdom in the room to identify stakeholders and key relationships
  11. 23.

    • Who do you work with? • Who do you

    turn to for new ideas? • Who do you turn to for advice? • How does working with this person affect your energy levels? Examples of Relational Survey Questions
  12. 24.

    Examples of DEMOGRAPHIC Survey Questions • What is your age?

    • What sector do you work in? • What is your job title? • How many years experience do you have?
  13. 28.

    And Don’t be afraid to simulate holes in the data.

    just because they didn’t respond doesn’t mean they aren’t part of the network.
  14. 30.

    Metrics provide an unbiased way to interpret relationships. You’ve got

    a few to choose from… degree INdegree OUTdegree ties pairs CLOSENESS farness reach betweenness eigenvector katz pagerank percolation cross-clique
  15. 31.

    Metrics provide an unbiased way to interpret relationships. You’ve got

    a few to choose from… but we’ll focus on these three for now. degree INdegree OUTdegree ties pairs CLOSENESS farness reach betweenness eigenvector katz pagerank percolation cross-clique
  16. 37.

    Closeness Identifies those with high visibility about what’s happening across

    the network by measuring the distance from one element to all other elements
  17. 40.

    Identifies key bridges and those who control the flow of

    information by counting the number of times an element lies on the shortest path between two other elements Betweenness
  18. 50.

    OUTSIDERS Stuck on the periphery with no idea how to

    work their way inside intentionally peripheral OR
  19. 51.

    Metrics only get You Started Use them to identify potential

    influencers and then validate with common sense WARNING
  20. 55.

    go beyond the pretty picture and get shit done. Use

    strong visualizations, compelling narrative, and convincing arguments to make your impact.
  21. 56.

    Use strong visualizations, compelling narrative, and convincing arguments to make

    your impact. Kumu helps you do all three shameless plug
  22. 57.

    a few caveats to Network Analysis • be data-informed, not

    data-driven • take results with a grain of salt • validate using common sense
  23. 58.

    let’s recap 1. SNA helps tackle complex social problems. 2.

    Use surveys, data, and local knowledge to build the network. 3. Calculate metrics to identify key players within the network. 4. Apply what you’ve learned to make a difference. 5. Don’t forget to use common sense!
  24. 59.

    If you want to go quickly, go alone. If you

    want to go far, go together. - African Proverb
  25. 61.

    Jeff Mohr is the cofounder & CEO of Kumu, a

    web-based platform that gives influencers the tools to track, visualize and leverage relationships to overcome their toughest obstacles. ! Learn more at kumu.io or say hi @kumupowered Thanks!