Title: Social Network Analysis From informal conversations to tangible assets
1Social Network AnalysisFrom informal
conversations to tangible assets
- Dr. Laurence Lock Lee
- Optimice Pty Ltd
- www.optimice.com.au
- llocklee_at_optimice.com.au
2Agenda
- What is SNA?
- A Brief History Friendships to Enterprise 2.0
- Tangible outcomes
- SNA and Enterprise 2.0
3One 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
4Identify Unofficial Organisational Roles
- Central connector
- Go-to people
- Boundary spanner
- Bridging networks
- Information broker
- Moves knowledge around
- Peripheral specialist
- Outside the network
5Types of SNA Maps
- 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
- For example
- Who is certified in Project Management
- Who has worked in Financial Services
6A brief history of SNA
Jacob Moreno studies friendship links among
school children
7www.INSNA.org
8SNA Art or Science?
Mark Lombardis hand drawn sociograms were
exhibited as art, but were also real
representations of his research on conspiracies
in the 1990s
9SNA and the Business World
www.ONA-Prac
10Tangible Outcomes from SNA
Organisational Re-structures that work
Sell More
Preserving Expertise
Better Knowledge Sharing
Building Better Communities
More Innovation
Competitive Intelligence
11Go to people in the Sales Network
High Value Nodes
President
Vice President
gt 50mill deals
New Leverage?
12Succession Planning - Advice Network by time in
Train Planning
Less than 1 year
Between 13 years
Between 310 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?
13Organisational Re-Design
14Case Study Knowledge and Information Audit
Dept 1
Dept 2
Dept 3
Dept 4
Other (internal)
External
Internal System/ Repository
Individual
Group
Entity
15Innovation Network
- Who did you go to for new ideas or innovative
solutions?
16Ownership Networks in Australian Media
17SNA and Enterprise 2.0
Uncovering social dynamics
Understanding the on-line trust network
The new enterprise data warehouse?
Proposition Can we predict collaborative
performance?
18Wiki Page-Editor Relationships
Wikipatterns web site
19Wiki Net Mining
20Wikipatterns central players
Mined (inferred) Relationships
Stated Relationships (from survey)
name Degree name Degree
Stewart Mader 1367.153 Stewart Mader 9
bartmassey 252.662 Guy Fraser 7
Mike Cannon-Brookes 212.719 Charles Miller 6
Jonathan Nolen 73.42 Mike Cannon-Brookes 5
frauhofer 68.429 Jon Silvers 4
Charles Miller 64.538 Jonathan Nolen 4
fschop 38.742 Roberto Dominguez 4
Jon Silvers 36.934 Brendan Patterson 4
zoli 27.78 David Peterson 4
21Sustainable Communities
22Wiki Participant Roles
Respondents nominating high value achieved
23Brokering Relationships
24Take-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