Your SlideShare is downloading. ×
Oracal of bacon and social networking analysis final
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Oracal of bacon and social networking analysis final

487
views

Published on

Published in: Technology, Business

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
487
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • Source: http://www.shanecurrie.id.au/photogallery/misc1/Its_A_Small_World_Mod.jpg
  • Image: www.claimedix.com/Images/BRM.jpg
  • Image : www.nature.com/.../v2/n12/images/nmat1032-i1.jpg pandemiclabs.com/.../02/fotolia_4881579_xs.jpg
  • Two nodes are connected if they regularly talk to each other, or interact in some way. Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network effectively shows the distinction between the three most popular individual centrality measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality. Diane has the most direct connections in the network. She is a 'connector' or 'hub‘. However connections are only to others in her immediate cluster. Heather has one of the best locations in the network -- she is between two important constituencies. She plays a 'broker' role. The good news is that she plays a powerful role in the network, the bad news is that she is a single point of failure. Fernando and Garth have fewer connections yet the pattern of their direct and indirect ties allow them to access all the nodes in the network more quickly.
  • Transcript

    • 1. Presented by Maria Murphy Horrigan Account Director Health and Human Services Regional lead for Business Analysis ABAA ACT Events/Comms Coordinator 11 Dec 2008 Social Networking Analysis, Communication & the “Oracle of Bacon”
    • 2. Slideshare and blogs
      • www.abaa.org.au
      • www.barocks.com
      • www.slideshare.com/murph
    • 3. Clichés or Truisms?
      • “ It’s a small world”
    • 4. Clichés or Truisms?
      • “ It’s not what you know; it’s who you know”
    • 5. Clichés or Truisms?
      • “ Business is built on relationships”
    • 6. Clichés or Truisms?
      • “ We’re living in a networked world”
    • 7. We are a networked world
        • We need to understand those involved with our projects
            • Their wants, needs, behaviour, attitudes, expectations, motivations
        • Relationships between them
            • Wants, needs, perceptions are both a reflection of individual requirements but also of the context and those who influence them
        • Politics
            • What else is happening that may affect project
    • 8. Multiplicity of networks
      • Official versus Unofficial
      • Examples
        • Advice
          • “ Who do you go to for advice?”
          • “ Who goes to you for advice?”
        • Collaboration
          • “ Who do you collaborate with?”
          • How do you collaborate (social media)
        • Trust
          • Who do you trust?
        • Friendship
          • Who is your friend?
        • Conflict
          • Who is a blocker or gatekeeper?
    • 9. Who’s who in the Zoo
      • We need tools for understanding who’s who in the zoo
        • Understand the project background (strategy, objectives, aims)
        • Understand organisation background (people, culture, technology, capability)
        • Understand who is a primary, secondary and tertiary stakeholder or target for our project
      • Social network analysis
        • A way to look at the interactions & connections
    • 10. So what is Social Networking Analysis?
        • Set of mathematical, graphical and theoretical tools for modelling networks and their structures
        • A lens for understanding the social world in a relational way
        • Maps and measures relationships and flows between people, groups, organizations, computers, web sites, and other information/knowledge processing entities
    • 11. How Kevin Bacon Cured Cancer
    • 12. The Oracle of Bacon What’s the Kevin Bacon number of Robert Di Nero? Or in social networks language: What is the shortest path between Robert De Niro and Kevin Bacon?
    • 13. Obama & Me Me & Obama = 3 Degrees
    • 14. Relevance to BAs
      • Need to identify stakeholders and entities
      • Identifying stakeholders in the project and my relationship with them
      • Once I’ve identified who I can then understand when I need to involve them in what activities during the project
      • Projects happen within organisations
          • Leadership & Power , Organisational Culture & Climate
      • What governance models to involve the right people
      What happens when we view these through the lens of social network analysis
    • 15. Understanding Social Networks
      • To understand networks and their participants, we evaluate the location of actors in the network
      • These measures give us insight into the various roles and groupings in a network
      • Gives insight into:
        • who are the connectors, experts, leaders, bridges, isolates?
        • where are the clusters and who is in them?
        • who is in the core or hub?
        • who is on the periphery?
    • 16. Social Networks – Key Terms
        • Nodes - people and groups
        • Links - show relationships or flows between the nodes
        • Attribute – name and value
        • Relationship properties
          • Type of Relationship (e.g., friendship, advice)
          • Direction of Relationship (directed vs undirected)
          • Strength of Relationship (binary vs weighted)
        • Network Properties
          • Centralisation
          • Density or concentration
          • Size
    • 17. Centralities reveal much about overall network structure
      • Very centralized network
        • Dominated by one or a few very central nodes
        • If these nodes are removed or damaged, the network
        • quickly fragments & can become a single point of failure
      • Less centralized network
        • Resilient in the face of many attacks or random failures
        • Many nodes or links can fail while allowing the remaining nodes to still reach each other.
      • Boundary Spanners
        • Connect their group to others
        • More central in the overall network than immediate neighbours
        • Well-positioned to be innovators and have access to ideas and information flowing in other clusters.
      • Periphery of a network
        • May connect to networks that are not currently mapped
        • Very important resources for fresh information not otherwise available
    • 18. Degree, Betweenness, and Closeness Centrality. "Kite Network" developed by David Krackhardt - http://www.orgnet.com/sna.html
    • 19. Centrality in the Network
      • Degree
        • Number of direct connections
        • Hub has the most connections and authority gained when other entities point to it
        • It’s not -"the more connections, the better“
        • But where those connections lead to
        • And how they connect the otherwise unconnected!
      www.fmsasg.com/SocialNetworkAnalysis
    • 20. Centrality in the Network
      • Betweenness
        • Great influence over what flows (and does not flow)
        • Holds a lot power over the outcomes in a network
        • Broker role if between two powerful constituents
        • “ Location, Location, Location."
      www.fmsasg.com/SocialNetworkAnalysis
    • 21. Centrality in the Network
      • Closeness
      • Shortest paths to all others (i.e close to everyone else)
      • Gives quick access to others
      • Excellent position to monitor the information flow
      • Best visibility into what is happening in the network.
      www.fmsasg.com/SocialNetworkAnalysis
    • 22. Communication
      • By knowing social network position & relationships I can
        • Leverage champions
        • Understand who might be “blockers” or “gatekeepers” (tertiary segmentation)
        • Find people to go to in order to elicit information (find the ‘nodes’ in the network)
        • So I don’t reinvent the wheel this allows me to quickly identify who might know the answer, communicate with them, understand their lessons learned, improve likely success of the project
        • Know who to communicate key messages to in order for them to disseminate throughout the network (project communications)
    • 23. User Segmentation
      • Segmentation – primary, secondary, tertiary
      • Allows me to know what to do tailor discussions for each segment to elicit the right requirements at the right level
      • Once we identify who, we can create archetypes and entities that represent networks within the networks
      • Then create user-requirements based on the archetypal users
      • Then leverage for context diagrams and system interfaces, requirements and design
      • Help to build the picture of the process from end to end
      • Then leverage for process-maps for business requirements (BPMN and/or Use cases)
    • 24.  
    • 25. We’re all connected
      • Important for project
      • Mapping these connections is easy, useful, tools are available quantify relationships and properties
      • Good for user, business and systems requirements
      • Make them more robust, accurate, relevant to the end product (systems FOR people not AT them)
    • 26. Take home messages
      • Projects can be more successful if you take the time to analyse the people and the relationships, connections between them
      • you’re not alone on your project – you’re probably only 4-6 degrees of separation away from someone who knows the answer
      • use social media, like blogs, linkedin, even twitter, are tools that can help you reach out to others in the BA community
    • 27. Fin Maria (Murphy) Horrigan Account Director Health & Human Services Regional Lead Business Analysis Email: mhorrigan@smsmt.com Blog: www.barocks.com www.slideshare.com/murph www.smsmt.com www.twitter.com/miahorri

    ×