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Social Network Analysis From informal conversations to tangible assets
Dr. Laurence Lock Lee Optimice Pty Ltd
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Agenda What is SNA? A Brief History – Friendships to Enterprise 2.0
Tangible outcomes SNA and Enterprise 2.0
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One Minute Introduction to SNA Maps
Individuals are represented as circles (nodes) An arrow pointing from one individual to another indicate the direction of the relationship Colour or shape of node can represent organisational belonging, geography or other relevant attribute Eg. Linda often asked for input
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Identify Unofficial Organisational Roles
Central connector ‘Go-to’ people Boundary spanner Bridging networks Information broker Moves knowledge around Peripheral specialist Outside the network
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Types of SNA Maps ‘Who do you ask for advice’
2 key types of SNA maps: Ego-nets Mapping of individuals’ relationships For example ‘Who do you ask for advice’ ‘Who do you go for information?’ Affinity maps Mapping of links based on a shared attribute ‘Who is certified in Project Management’ ‘Who has worked in Financial Services’
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A brief history of SNA Jacob Moreno studies friendship links among school children
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SNA – Art or Science? Mark Lombardi’s hand drawn sociograms were exhibited as art, but were also real representations of his research on conspiracies in the 1990s
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SNA and the Business World
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Tangible Outcomes from SNA
Organisational Re-structures that work Sell More Better Knowledge Sharing Preserving Expertise Building Better Communities More Innovation Competitive Intelligence
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“Go to” people in the Sales Network
= High Value Nodes President Vice President > $50mill deals New Leverage?
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Succession Planning - Advice Network – by time in Train Planning
Less than 1 year Between 1&3 years Between 3&10 years More than 10 years No response The data identifies that the Train Planning network is dominated by longer term staff members. New-comers may be finding it difficult to penetrate the established networks How can newcomers engage more quickly with the “network”?
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Organisational Re-Design
Business Support Operating Timetable Major Projects & STNs Program Delivery Operations Analysis Graphic Support Managers Office Trainee
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Case Study: Knowledge and Information Audit
Brokers or gatekeepers? Dept 1 Dept 2 Dept 3 Dept 4 Other (internal) External Internal System/ Repository Individual Group Entity
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Innovation Network Who did you go to for new ideas or innovative solutions? Program Office X Program Office
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Southern Cross Broadcasting
Ownership Networks in Australian Media Macquarie Media Southern Cross Broadcasting Before Takeover Macquarie Media After Takeover
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SNA and Enterprise 2.0 Uncovering social dynamics Understanding the on-line trust network The new enterprise data warehouse? Proposition: Can we predict collaborative performance?
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Wiki Page-Editor Relationships
Wikipatterns web site
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Wiki Net Mining “Mined (inferred)” Relationships
Stated Relationships (from survey)
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Wikipatterns – central players
“Mined (inferred)” Relationships Stated Relationships (from survey) name Degree Stewart Mader 9 bart+massey Guy Fraser 7 Mike Cannon-Brookes Charles Miller 6 Jonathan Nolen 73.42 5 frauhofer 68.429 Jon Silvers 4 64.538 fschop 38.742 Roberto Dominguez 36.934 Brendan Patterson zoli 27.78 David Peterson
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Sustainable Communities
Founder as central connector Founder not present
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Wiki Participant Roles
Respondents nominating high value achieved
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Brokering Relationships
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Take-aways SNA is a robust analytical technique with a long academic heritage Tangible business benefits can accrue from its use SNA is to Enterprise 2.0 social networking systems what Business Intelligence Systems are to ERP systems
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