1 social network analysis mgt 665 may 3, 2007. 2 “[we are] witnessing organization man’s...
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Social Network Analysis
Mgt 665May 3, 2007
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“[We are] witnessing organization man’s metamorphosis into networked person, a species that can now be observed in airport lounges, on fast inter-city trains and at motorway service stations. Networked person is always on the move, juggling with a laptop computer, a mobile phone and a Blackberry for e-mails, keeping in electronic touch with people he (and increasingly she) no longer regularly bumps into in a corridor. Indeed, there may be no corridor.”
From “Organisation Man” to “Networked Person”
The Economist, 2006
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May 7, 2007 editionApril 27, 2007 edition
Networks are “Hot”
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Outline
• Overview and Applications of SNA• SNA basics using Kite diagram• Class examples • Going beyond structure - Study of
Trust at HP• Personality and social networks• How do you do this?
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Social Network Analysis
• Social Network Analysis: The mapping and measuring of relationships and flows of information between people, organizations, computers, or other information or knowledge processing entities. – Nodes are people and groups; links show
relationships or flows between the nodes
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6http://www.orgnet.com/booknet.html
Revealing Book Networks
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Political Books and Polarized Readers?
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Wikinomics Book Network
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9Source: Krebs & Associates
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World Trade
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SNA of the 9-11 Terrorist Network
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Social Network Theoryis related to…
• Social capital• Network effect• Diffusion of innovations• Complexity theory (butterfly effect, swarm
theory)• Small world phenomenon, six degrees of
separation• Online social networks (Facebook, Linked-In)
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Networks Are Critical to Innovation Diffusion
Time
Percent ofAdopters
20% early adopters
later adopters
Rogers, E. (1995). The Diffusion of Innovations. New York: The Free Press
“critical mass”
Successful innovation
Unsuccessful innovation - “island of innovation” - diffuse or die phenomenon
100%
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Acceleration Innovation Diffusion Using Opinion
Leaders1. Identify the 10 percent of individuals
within a community who are the “opinion leaders” (most central) with regard to topic using SNA
2. Match opinion leaders to community members who nominated them
3. Assign isolates to leaders randomly or based on a rule that proportionally allocates isolates to more popular leaders
Valente, T. & Davis, R. (1999). Accelerating the Diffusion of Innovations Using Opinion Leaders. Annals of the American Academy, 566, November
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18Valente, T. & Davis, R. (1999). Accelerating the Diffusion of Innovations Using Opinion Leaders. Annals of the American Academy, 566, November
Matching Opinion Leaders to Community Members
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Diffusion Using Opinion Leaders
Valente, T. & Davis, R. (1999). Accelerating the Diffusion of Innovations Using Opinion Leaders. Annals of the American Academy, 566, November
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IT-Enabled Networking
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Using E-Mail to Identify Optimal Paths
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Broader Applications of SNA
• Reveal how infections spread among patients and staff in a hospital
• Accelerate diffusion by identifying opinion leaders
• Improve the innovation of a group of scientists and researchers
• Find emergent leaders in fast growing company
• Map executive's personal network based on email flows
• Analyze book selling patterns to position a new book
• Analyze terrorist networks
• Map interactions amongst blogs on various topics
• Map communities of expertise in various medical fields
• Examine a network of farm animals to analyze how disease spreads from one cow to another
• Map network of Jazz musicians based on musical styles and CD sales
• Discover emergent communities of interest amongst faculty at various universities
• Discern useful patterns in click streams on the WWW
Source: http://www.orgnet.com/sna.html
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Application of SNA to People and Organizations
Career Planning How do people find jobs?
Mergers and Acquisitions
Is the cross-border M&A working?
Business Process Re-engineering
Where are the organizational disconnects?Where are the bottlenecks?
Human Resources Are any groups isolated? (e.g., young engineers)Are diversity efforts working?
Organizational Design
How should the office be laid out?
Innovation Diffusion/Knowledge Mgt
How do innovations spread?Who are the resident Subject Matter Experts?How can innovation diffusion be accelerated?
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Your Network Structure Matters
• Social networks that are large, diverse, rich in weak ties and “structural holes” lead to a range of positive outcomes including:– Access to novel sources of information (Granovetter, 1973)– Fruitful inventions and career advancement (Burt, 1992)– Discovery of new jobs (Granovetter, 1993)
• Social networks that are small, dense, rich with strong ties leads to:– Increased accessibility (Baker, 1993)– Help with resource mobilization (Obstfeld, 2005)– Protection in times of danger or uncertainty (1992)
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The Kite Diagram
Who is most “central”?Most “between”?Most “close”?
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Centrality Measures• Local Centrality (Degree): The number of links an actor has with
other actors.
• A potential sign of power
• High in-degree can be a sign of prominence or prestige
• High out-degree can be a sign of influence
• Betweeness: The degree to which an actor is situated between two groups, and is a necessary route between those groups.
• Actors with high betweeness have the potential to have a major influence
• They can be mediators/brokers, gatekeepers, bottlenecks, or obstacles to communication
• They are especially valuable when the link two diverse groups
• Global Centrality (Closeness): the average distance between an actor and all other actors in a network.
• Most likely to be “in the know” about what is happening
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Adjacency Matrix for Kite Diagram
AndreBeve
rly Ed GarthFer
nando Carol DianeHeather Ike Jane
Andre 1 1 1 1
Beverly 1 1 1 1
Ed 1 1 1
Garth 1 1 1 1 1
Fernando 1 1 1 1 1
Carol 1 1 1
Diane 1 1 1 1 1 1
Heather 1 1 1
Ike 1 1
Jane 1
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Three Ways to Gather Data
• Closed Network (Positional) Approach– Researcher studies connections
between closed, known network
• Ego (Reputational) Approach– Researcher studies those named on
ego’s list
• Snowball Method– Researcher asks ego to nominate others
and follows chain
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Six Varieties of Knowledge Networks
• Work Network– With whom do you exchange information as part of your daily work
routines?
• Social Network– With whom do you “check in” inside and outside the office to find out
what is going on?
• Innovation Network– With whom do you collaborate or kick around new ideas?
• Expert Knowledge Network– Whom do you turn to for expertise or advice about the enterprise?
• Career Guidance or Strategic Network– Whom do you go to for advice about your future?
• Learning Network– Whom do you work with to improve existing processes or methods?
Source: http://www.well.com/~art/s+b42002cm.html
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UCLA ELP Class Social Network
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UCLA ELP Class Social NetworkNode Size = Centrality
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UCLA ELP Class Social NetworkNode Size = Betweeness
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UCLA ELP Class Expert Network
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UCLA ELP Class Expert NetworkNode Size = Centrality
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UCLA ELP Class Expert NetworkNode Size = Betweeness
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KM 631 “Acquaintance” Network
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KM 631 “School” Network
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KM 631 “Social” Network
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KM 631 “Acquaintance” Network – Reciprocal Ties
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KM 631 “School” Network – Reciprocal Ties
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KM 631 “Social” Network – Reciprocal Ties
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KM 631 Class “Social” NetworkNode Size = Centrality
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What’s the Moral of the Story?
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Categories of Network Properties
Relational (qualitative) •Strength of ties•Accessibility•Likeability/”fun”•Reputation•Expected reciprocity? •Competing unit?•Dependence•Trust
Structural (quantitative)•Size•Density•Diversity•Structural Holes•Isolates/Cliques•Centrality•Betweeness•Closeness
Individual (qualitative)•Personality (e.g., Big 5, self-monitoring)•Emotional intelligence•Intentionality•Past experience
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Maximizing Network Support and Productivity
1. How valuable is the information I receive from this person?2. How well does this person collaborate with me to solve problems and make
decisions?3. How aware is this person of my skills?4. How accessible is this person to me?5. How “engaged” is this person with me?6. How safe is it to communicate with this person?7. What is the level of quality of conversation with this person?8. To what degree is my productivity improved by this person?9. How much power and influence does this person have?10. How much do I like this person?11. To what degree does this person support the achievement of my career
goals?12. To what degree does this person support the achievement of my personal
goals?13. To what degree does this person energize (or exhaust) me?14. To what degree do I trust this person?
Source: Robert Cross & Andrew Parker (2004), The Hidden Power of Social Networks: How Work Really Gets Done in Organizations. Harvard Business School Press.
• Evaluate each person in your network• Be evaluated by each person in your network!• Best conducted as 360 by 3rd party, NOT managers
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Trust Is…
• one’s willingness to become vulnerable to another party in order to achieve some expected gain even when one is unable to control or monitor the other party (Mayer et al., 1995).
• the “essential lubricant,” that enables cooperation and social exchange (Cohen and Prusak, 2001:28, Barber, 1983; Hardin, 1996; Luhmann, 1979).
• At least minimum levels of trust are required for individuals to activate and use the contacts in their networks (Rousseau et al., 1998)
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Components of Trust
• Competence: Being an expert in the subject matter I seek
• Benevolence: Having my best interests at heart
• Integrity: Ethical behavior or alignment with my value system
Source: Mayer, R., Davis, J. and Schoorman, F. (1995). An integrative model of organizational trust. Academy of Management Review, July, Vol. 20, No. 3, pp. 709-734
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HP Study• Sample: 50 senior leaders at HP (SVPs, VPs, Directors, GMs) yielding
data on 661 contacts• Who do you go to for:
– Actionable advice: Suggestions or recommendations to help you succeed
– Political help: Assistance with thinking strategically– Emotional support: A sympathetic ear– Raw information: Facts, figures, date and numbers that help you
get work done• Please rate this person in terms of:
– Competence– Benevolence– Integrity
• How big a difference has this person’s advice made to your success?
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Whom Would You Choose To Work With?
Source: Casciaro, T & Lobo, S. (2005). Competent Jerks, Lovable Fools and the Formation of Social Networks. HBR
Faced with the need to accomplish a task at work, what sort of person would you pick to help you? Studies showed that most people would choose a “lovable fool” over a “competent jerk”.
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Type of Support
Competence Benevolence Integrity
Seek actionable advice .197** .209** .198**
Seek emotional support -.009 .369** .243**
Seek political or strategic assistance
.126** .108* .114**
Seek raw information -.086* -.144** -.136**
Correlations Between Element of Trust and Type of Support Sought
N = 660 contacts from 50 executives
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51Note: C, B, I dichotomized into L+M = L, H=H
Variations of Trust and Difference Made in Career Success
Avg Diff Made
0
0.5
1
1.5
2
2.5
L L H H H H
L L L H L H
L H L L H H
44 52 63 62 166 256
Avg Diff Made
CompetenceBenevolenceIntegrityN
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Big Five Personality Traits
• Extroversion (warmth, gregariousness, assertiveness, activity, excitement-seeking, positive emotions)
• Agreeableness (trust, straightforwardness, altruism, compliance, modesty, tender-mindedness)
• Conscientiousness (competence, order, dutifulness, achievement-striving, self-discipline, deliberation)
• Neuroticism (anxiety, anger, depression, self-consciousness, impulsiveness, vulnerability)
• Openness to Experience (fantasy, aesthetics, feelings, actions, ideas, values)
Source: Costa & McCrae, 1992, NEO PI-R Professional Manual
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Individual Attribute
NetworkSize
Strength of
Ties
Trust Density Diversity
Extroversion + + + +
Agreeableness +
Conscientiousness
+
Neuroticism -
Openness to Experience
+ -- +
NetworkingIntentionality
+ + +
Correlations Between Personality Traits and Social Network Structure