Social Network Analysis Patti Anklam Columbia IKNS 4305 Unit 3 April 2013
Nov 01, 2014
Social Network Analysis
Patti Anklam Columbia IKNS 4305 Unit 3
April 2013
I’ve become convinced that understanding how networks work is an essential 21st
century literacy.
Howard Rheingold
Columbia IKNS Residency April 2013
Agenda
―The language of networks
―Networks in organizations
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Social Network Analysis
Introduction to tools for social, organizational, and personal network analysis
The New Language of Networks
http://www.dftdigest.com/images/Spyglass.jpg
We live in networks all the time
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• We live in networks all the time: communities, organizations, teams
• There is science to support the understanding of network structure
• The structure of a network provides insights into how the network “works”
• Once you understand the structure, you can make decisions about how to manage the network’s context
• Network analysis tools help you understand the structure
Columbia IKNS Residency April 2013
The Premise: Networks Matter
• The complexity of work in today’s world is such that no one can understand – let alone complete – a task alone – Individual-individual – Team-team – Company-company – Eco-system to eco-system
• Strong networks are correlated with health: – People with stronger personal networks are more productive, happier,
and better performers – Companies who know how to manage alliances are more flexible,
adaptive and resilient – Our personal health and well-being is often tied to our social networks
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Columbia IKNS Residency April 2013
The Importance of Understanding Networks
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Columbia IKNS Residency April 2013
The new science of networks
• Beginning in the 1990’s computer science made it possible to map and analyze large social networks.
2002
2002
2002
2003
2004
2004
2009
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• By 2009, network science and analysis are accepted practice in science and management
• Insights became accessible to the public.
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Network Perspective
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• If it’s a network, you can map it: – People-people
– Group-group
– Within organizations
– Across organizations
• A network is a collection of entities linked by a type of relationship
• All networks have common properties and can be analyzed – Information artifacts
– Ideas & issues
Node
Tie
Columbia IKNS Residency April 2013
Rob Cross’s Classic Case
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From: The Organizational Network Fieldbook, Rob Cross et al, Jossey-Bass 2010
Columbia IKNS Residency April 2013
A Classic Case
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From: The Organizational Network Fieldbook, Rob Cross et al, Jossey-Bass 2010
Columbia IKNS Residency April 2013
A Classic Case
From: The Hidden Power of Social Networks, Rob Cross and Andrew Parker, Harvard Business School Press, 2004 12
From: The Organizational Network Fieldbook, Rob Cross et al, Jossey-Bass 2010
Columbia IKNS Residency April 2013
A Classic Case
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From: The Organizational Network Fieldbook, Rob Cross et al, Jossey-Bass 2010
Columbia IKNS Residency April 2013
A Classic Case
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From: The Organizational Network Fieldbook, Rob Cross et al, Jossey-Bass 2010
Columbia IKNS Residency April 2013
It’s all about Questions
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Patterns provide insights that provoke good questions. Full stop.
Columbia IKNS Residency April 2013
Map Patterns
Multi-Hub Hub and Spoke
Stove-piped (Siloed) Core/Periphery
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The Unit of Analysis: The Relationship
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Different Questions, Different Maps
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“I interact with this person somewhat frequently”
“I understand this person’s knowledge and skills “ (Agree or Strongly Agree)
• Look at the whole network and its components
Network Analysis Also Provides Metrics
• Look at positions of individuals in the network
Centrality Metrics
Structural Metrics
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Structural Metrics
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• Common measures:
–Density of interactions
–Average degree of separation
–Cross-group or cross-organization connectivity
• Good for comparing questions, groups within networks or for comparing changes in a network over time
Look at the whole network and its components
Interpreting Results
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“I interact with this person twice a month or more”
I understand this person’s knowledge and skills (Agree or Strongly Agree)
Density: 11% Distance: 2.7
Density: 28% Distance: 1.8
How the Metrics Enhance the Maps
2010
2011 Year # Density Avg #
ties
2009 55 2.2% 1.2
2010 90 2.7% 2.4
2011 85 5.3% 4.5
2012 82 8% 6.88
2009
2012
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Centrality Metrics
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Look at positions of individuals in the network
• Good for identifying people who are well positioned to influence the network or to move information around
• Common measures:
–Number of connections
–Frequency of occurrence on paths between others
–Diversity of connections
Identifying Key People
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Who are the people who are best positioned to move information through the network?
In-degree: 16 Betweenness: 1125
In-degree: 5 Betweenness: 586
In-degree: 11 Betweenness: 469
In-degree: 9 Betweenness: 415
Columbia IKNS Residency April 2013
Positional Sleuthing in ONA
• Based on this data:
• Who should Jerry appoint as his successor?
• Who do you think Jerry actually appointed as his successor? Why?
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Columbia IKNS Residency April 2013
AB
DG
KF
KSMK
NM
NS
PM
PP
RC
RR
SK
Diversity
• Organization
• Expertise
• Age, Tenure
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AB
AL
BG
DC
GP
MB
PM
SA
• Social Ties
• Geographic location
• Hierarchical position
The Importance of Diversity
People who live in the intersection of social worlds are at higher risk of having good ideas. –
Ron Burt
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Columbia IKNS Residency April 2013
Detecting Diversity
• Who is more likely to have access to new ideas?
– Tom
– Marion
• Why?
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Columbia IKNS Residency April 2013
KM Interventions
Ways to change patterns in
networks
Practices from the KM Repertoire
Create more connections Make introductions through meetings and webinars, face-to-face events (like knowledge fairs); implement social software or social network referral software; social network stimulation
Increase the flow of knowledge Establish collaborative workspaces, install instant messaging systems, make existing knowledge bases more accessible and usable
Discover connections Implement expertise location and/or; discovery systems; social software; social networking applications
Decentralize Social software; blogs, wikis; shift knowledge to the edge
Connect disconnected clusters Establish knowledge brokering roles; expand communication channels
Create more trusted relationships Assign people to work on projects together
Alter the behavior of individual nodes Create awareness of the impact of an individual’s place in a network; educate employees on personal knowledge networking
Increase diversity Add nodes; connect and create networks; encourage people to bring knowledge in from their networks in the world
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Organizational Networks Summary
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• The science of networks has brought insights into the structure of organizational networks
• Organizational network analysis lets us map relationships that reveal the informal networks through which work gets done
• Developing and sharing these maps helps organizations improve collaborative capacity, overcome obstacles to effective sharing, and redesign their work relationships
• Results are a guide to asking good questions and should never be interpreted as an “answer”
Introduction to Organizational, Social,
and Network Analysis Tools
http://quilting.about.com/od/picturesofquilts/ig/Alzheimer-s-Quilts/The-Ties-that-Bind.htm
Basic Terminology
• Node: an individual person in the network. Sometimes called a vertex.
• Tie: a relationship between two nodes. Sometimes called a link, sometimes an edge.
• Ties are either directed, in which case the arrows provide “from – to” information, or undirected
• The complete set of nodes and ties is often called the social graph, or simply the graph
Nodes and ties: the graph
Basic Terminology
• Degree: The number of ties a node has is its degree, which can be distinguished between in-degree and out-degree. Node B has an in-degree of 4. Node E has an out-degree of 2
• Path: The sequence of ties and nodes between one node and another. Node D has two paths to Node C
• Path length: number of degrees between two nodes. Often called the distance between two nodes.
Paths and degrees
Columbia IKNS Residency April 2013
Basics of Network Map
Core
Periphery
Isolates
Structural Hole
Cluster
Math Behind the Science
• Relationships (ties) among people (nodes) can be analyzed:
– Distances between nodes (and averages)
– Centrality of nodes
– Average density of interactions
• Mathematical formulas identify patterns, clusters, cliques
What Sorts of Tools Are There?
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• Range in complexity of function & cost
• Let you access and map your own network
Social Media Applications
Tools Designed for SNA/ONA
Specialized assessment instruments
• PNA (personal network assessment) tool offers individualized results
Mapping and Analysis Tools
Tool Basics – The Questions
• Improve collaboration
• Finding connectors and influencers in organizations and communities
• Leadership development
• Performance benchmarking
• Integration of units following merger/acquisition
Problem (Examples) Relationships of Interest
• Access to expertise
• Innovative & capacity
• Collaborative capacity
• Ease of knowledge flow
• Decision-making and task flow
• Innovation potential
• Energy
Shares new ideas with
Seeks help for problem-solving Works closely with Knows expertise of
Questions: the art of the network analysis
Tool Basics – the Dataset
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Information about the nodes (vertices) and the ties (edges)
Load and Draw…
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Short List of Resources for SNA/ONA Tools
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http://tinyurl.com/SNA-ONA-Tools
Columbia IKNS Residency April 2013
Network Insights Don’t Require Fancy Software
• If it’s a network, you can draw it.
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Columbia IKNS Residency April 2013
Our Networks and Social Media
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http://inmaps.linkedinlabs.com/
Columbia IKNS Residency April 2013
Where’s Kate?
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Columbia IKNS Residency April 2013
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Columbia IKNS Residency April 2013
Understanding Your Personal Network
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Focus Purpose How to Develop
Operational Getting work done efficiently
Identify people who can block or support a project
Personal Develop and maintain professional skills and reputation
Participate in professional associations, clubs, and physical and online communities
Strategic Figure out and obtain support for future priorities and challenges
Identify lateral and vertical relationships outside your immediate control
Source: “How Leaders Create and Use Networks,” Herminia Ibarra and Mark Hunter, Harvard Business Review January 2007
Columbia IKNS Residency April 2013
The PNA (Personal Network Assessment)
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Columbia IKNS Residency April 2013
Summary
• Social network analysis tools and methods are available to map organizational as well as the individual’s personal network
• The tools matter less than the network mindset – and the understanding that the structure of a network matters
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Question
•http://www.pattianklam.com
Thank you.
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