Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
3. DEFINITION
• Social network analysis (SNA) is a collection
of techniques, tools, and methods to map and
measure the relationships among people and
organizations
SNA is multidisciplinary and deals with
Sociology
Graph theory
Computer science
Mathematics
Economics
Women Studies
Development Studies
4. Actors (Nodes/ Vertices)
Actors –are the smallest unit of a network
Persons
Organizations
Countries
Companies
Animals
Words
Web pages
Families
5. D
e
Relations (Link/Edge/Tie/Arc)
p
t
o Two Actors are connected
f by a social relationship.
Affective
F
likes, trusts
u Kinship
t
mother of, wife of
Interactions
u
give advice, talks to, fights
r Other role-based
with, lends money to
e
boss of, teacher of
sex / drugs with
friend of
s
S
• Affiliations
t Cognitive/perceptual
belong to same clubs /
knows
u
companies
aware of what they know
d
is physically near
i
e
7. SNA Method in a Nutshell
Step
Activities/Tools
Design
Identify boundaries
Clarify and design questions
Collect Data
Surveys
Interviews
Facebook, LinkedIn
Email logs
Analyze data to generate
maps and metrics
(Pajek/UCINET, NodeXL, Gephi
… many others)
Review data
Validate; look for questions
Prepare evaluation
Match network results with
context and stories
Move into action
Weaving & other interventions
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9. Expected Research Types
• Assess the network’s capacity for collaboration,
information transfer, technology diffusion etc.
• Identify potential relationships among people based on
shared events, meetings, ideas, or areas of expertise
• Identify key individuals - positions of individuals in
the network
– # of connections
– Favorability of position
• Identifying people who are well positioned to influence
the network or to move information around
• Comparing groups within networks or for comparing
changes in a network over time (Dynamics Study)
13. Network Analysis in Cricket
• Most connected one is not necessarily the most
central and most central players are not
necessarily the one with high performance one.
• Quantifying individual performance in Cricket
−Relative importance and effect of removing a
player from the team, based on different centrality
scores.
Social Network Analysis as a tool to
analyze interaction of Batsmen and
Bowlers in Cricket
14. Organizational Network Analysis
• ONA is a method for studying communication and
socio-technical networks within an organization.
• Organizational network analysis (ONA) often refers
to the use of SNA methods in the context of
organization dynamics and development
• It is a quantitative descriptive technique for creating
statistical and graphical models of the people, tasks,
groups, knowledge and resources of organizational
systems
15. To Find Subject Matter Experts
• Each node indicates people working in particular
domain area .
• X --> Y means X seeks knowledge from Y.
• Two people are connected if one goes to the other
for expertise in this domain .
• Potential of each node is shown in different colors
based on their experience.
16. Maximizing Organizational Productivity
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
How valuable is the information I receive from this person?
How well does this person collaborate with me to solve problems and make decisions?
How aware is this person of my skills?
How accessible is this person to me?
How “engaged” is this person with me?
How safe is it to communicate with this person?
What is the level of quality of conversation with this person?
To what degree is my productivity improved by this person?
How much power and influence does this person have?
How much do I like this person?
To what degree does this person support the achievement of my career goals?
To what degree does this person support the achievement of my personal goals?
To what degree does this person energize (or exhaust) me?
To what degree do I trust this person?
• Evaluate each person in your network
• Be evaluated by each person in your network!
• Best conducted as 360 by 3rd party, NOT managers
Source: Robert Cross & Andrew Parker (2004), The Hidden Power of Social Networks: How Work Really Gets Done in Organizations.
Harvard Business School Press.
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17. Broader Applications of SNA
Accelerate diffusion by identifying opinion leaders
Reveal how infections spread among patients and staff in a hospital
Map executive's personal network based on email flows
Map interactions amongst blogs on various topics
Map communities of expertise in various fields
Discover emergent communities of interest amongst faculty at various
universities
Discover useful patterns in click streams on the WWW
Viral spread: disease, fads and fashions, ideas, YouTube videos
To Find Subject Matter Experts in Particular Area
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Source: http://www.orgnet.com/sna.html
23. Thank You
Are you interested in Social Network
Analysis ?
Feel Free to contact me
On
9846924006 or
prems4u@gmail.com
Source: http://www.orgnet.com/sna.html
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Notas del editor
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Morale of the Story: Network Usefulness Depends on the Quality of the Relationships