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Visualizing Knowledge Networks

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Title: Visualizing Knowledge Networks


1
Visualizing Knowledge Networks
  • Presentation by
  • Andy Swarbrick
  • TEClab
  • Univeristy of Illinois

2
Introduction
  • In knowledge intensive firms much of the work is
    done via informal grouping. Knowledge workers
    rely on their contacts to gain access to
    knowledge and other resources.
  • The virtualization of the knowledge work
    environment is in danger of hiding the very
    social networks that knowledge workers depend
    upon.

3
Overview of Presentation
  • The Underlying Academic Theories
  • Knowledge and Social Capital
  • Networks
  • Introduction to I-KNOW
  • Examples of I-KNOW in Action
  • Benefits of Using I-KNOW
  • Advantages of this approach

4
Knowledge and Social Capital
  • The Knowledge Creating Company
  • Combination and Exchange
  • The Role of Social Capital

5
Knowledge Creating Company
  • The Knowledge Based Enterprise
  • A social community that specialises in the
    effective transfer and creation of knowledge.
  • Knowledge within firms is created by two generic
    processes
  • Combination where different types knowledge are
    combined in order to create new knowledge
  • Exchange mechanism by which this takes place
    knowledge is transferred from one place to
    another through a social network

6
The Role of Social Capital
  • Social capital plays a central role in the
    creation of Knowledge.
  • Dimensions of Social Capitals
  • Structural
  • Relational
  • Cognitive
  • Factors Effecting Knowledge Exchange and
    Combination
  • Access
  • Anticipation of Value
  • Motivation
  • Capability

7
The Role of Social Capital in the Creation of
Knowledge Capital
8
Networks
  • Social Networks
  • Cognitive Social Structures
  • Knowledge Networks
  • Cognitive Knowledge Networks
  • Types of Work Related Network

9
Social Networks
  • Its not what you know, its who you know.

Nodes represent people. Links represent who knows
who.
Example How can I get in touch with person X?
10
Cognitive Social Structures
  • Its not who you know, its who they think you
    know.
  • Example I understand that X is an expert in
    topic A. Whom do I know who knows X, and can
    introduce me to X?

11
Knowledge Networks
  • Who knows what?
  • Links representing the shared knowledge could be
  • skills,
  • expertise
  • activities,
  • interest sets,
  • interpretations of project goals
  • work flow information.

Nodes represent the individuals, project teams,
organisations, physical locations
  • Example I need to find out something about topic
    X. Where do I get this information?

12
Cognitive Knowledge Networks
  • Who knows who knows what?
  • Example I need to know more about topic X. Who
    in my extended (direct or indirect) network can
    tell me more about topic X?

13
Summary
  • Social Structures are based on who knows who.
  • Cognitive Social Structures are based on who
    knows who knows who.
  • Knowledge Networks are based on Who knows what.
  • Cognitive Knowledge Networks are based on who
    knows who knows what.

14
Work Related Network
  • Two basic kinds of work related network
  • Networks of Practice
  • This type of network links people together whom
    they may never get to know but who work on
    similar practices
  • Communities of Practice
  • A community of practice is a group of people who
    share information, ideas, insights and advice
    about a topic or domain. In the course of doing
    so they develop a common practice (a shared body
    of knowledge, process, rituals, approaches,
    thinking. Over time they build a common history
    and develop a shared identity.

15
Main Roles within Social Networks
  • The Central Connectors- who link most people in
    the social network.
  • The Boundary Spanner who connect an social
    network with other parts of the organisation or
    with other similar networks.
  • Information Brokers keep the different sub
    groups in a social network together
  • Peripheral Specialists who anyone can turn to
    for specialised expertise
  • Cross Prusak, 2002

16
Six Myths of Informal Networks
  • To build better networks, we have to communicate
    more
  • Everyone should be connected to everyone else
  • We cant do much to aid informal networks.
  • How people fit into networks is a matter of
    personality (which cant be changed)
  • Central people that have become bottlenecks
    should make themselves more accessible
  • I already know what is going on in my network
  • Cross, Nohria Parker , 2002

17
I-Know Knowledge Network Analysis
  • What is I-Know
  • Example Knowledge Network Graph
  • An actual I-Know
  • Using I-Know
  • Advantages of this Approach

18
I-Know/ Network Visualisation
  • Inquiring Knowledge Networks on the Web. A web
    based tool designed by the University of Illinois
    to analyse the co-evolution of knowledge networks
    and information networks.

19
Example Network Graph
Clicking on the link brings up the details of the
relationship
Rectangular Boxes represent individuals/ actors
within the network
Clicking on the rectangles brings up the details
of individual/ actor
Links represent relationships between the actors.
The number of the link represents the strength of
the link.
20
Locating Communities
  • The following diagrams show the links based on
    both reported contacts and shared interest.
  • The following images of maps of the social
    networks are screenshots taken from the a version
    of I-KNOW customised for the communities of
    practice online group, hosted on the Yahoo!
    Groups platform.

21
Overlapping Sub Communities Based on Reported
Contact Data
This diagram only shows links between people that
contact each other at least once a week From this
diagram it is clear that group 1 acts as the hub
joining all the groups except for group 8
together.
22
Identifying Roles within Networks
  • Central Connector
  • Boundary Spanner

23
Sub Communities of Interest
Using a minimum link strength of one a similar
pattern of overlapping communities begins to
appear.
24
Latent Communities of Interest
This diagram shows the network of people based
solely the number of interests shared. This give
a different context of a constellation of
different interest areas within the knowledge
network
25
Benefits of Using I-KNOW
  • Expertise Location
  • Identify areas of potential collaboration
  • Identifying sub-communities
  • Identifying the different role players
  • Identifying networks of practice
  • Improve an individuals understanding
  • Identify areas of potential collaboration

26
Expertise Location
  • Being able to identify sets of individuals that
    have certain core competencies, allows
    organisation to manage the development of their
    intellectual capital and personnel by
  • ensuring that their experts are well linked into
    the organization and each other.
  • enabling people within the network to identify
    links to people who are subject experts, this
    enables the organisation to manage key knowledge
    resources more effectively

27
Identifying areas of potential collaboration.
  • Being able to identify where people are currently
    engaged in similar tasks, but not connected
    through the social network or chain of
    organisational reporting, allows organisations to
    stop the reinvention of the wheel syndrome,
    where effort is needlessly duplicated. This can
    be achieved by -
  • integrating individuals into existing sub
    communites, in order to try and encourage the
    formation of social ties, which will allow the
    two areas to collaborate, and
  • identify potential knowledge brokers, between the
    two parties, in order to invoke a dialogue.

28
Identifying Sub-Communities
  • By being able to identify and ascertain the
    nature of value-adding sub communities,
    organisations and communitys leaders are able
    to -
  • encourage and nurture communities. Promoting
    social ties with the wider organisation and
    encouraging links to similar communities to
    improve knowledge sharing
  • allocate resources, such as collaboration and
    communication technologies, more appropriately.

29
Identifying the different role players
  • By being able to identify the types of roles that
    people are taking in the network, individuals,
    community leaders, and organisations are able to
    -
  • identify individuals who are well placed to
    distribute information, and improve the
    dissemination of information through the network
  • identify individuals who can access distributed
    sources of knowledge.
  • identify individuals with needs for additional
    resources to allow them to deal with large
    amounts of information,
  • develop personal networking skills, and provide
    them with support for these activities.

30
Identifying networks of practice
  • Being able to identify people that are engaged in
    the same, or similar tasks, allows organisations
    and community leaders to -
  • identify where resources should be directed to
    set up communication networks, which will return
    the highest benefits, in terms of improving
    knowledge transfer.
  • leverage investment in existing strategic/ sub
    communities , by ensuring that communities are
    well linked into the wider social networks and
    practice areas. This allows the knowledge
    created in the communities to flow through the
    organisation, in a way that can be more easily
    assimilated.

31
Improve an individuals understanding
  • Being able to reduce the time it takes to
    understand the underlying social networks allows
    individuals to
  • integrate more quickly, when first joining an
    organisation, by being able to identify, and
    being identifiable, to relevant sub communities
    and practice groups.
  • move more easily to different areas of the
    organisation, by being able to leverage their
    existing social and knowledge capital to gain
    access to new communities

32
Advantages of this Approach
  • Return on investment
  • Far simpler and cheaper to implement than
    existing KM toolsets based on data warehousing
    and business intelligence technologies
  • Ability to integrate in to into wider KM and
    intellectual capital strategies.
  • Well suited to low cost pilot and proof of
    concept projects, possible to get a number of
    quick wins.

33
Questions
  • For any additional questions please contact the
    TEClab
  • _at_ swarbric_at_uiuc.edu
  • Website http//iknow.spcomm.uiuc.edu
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