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Knowledge Network Analysis

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What & How Does Traffic Fairy Know? Gathered Snowball-sample, ... CAROUSEL-CARILLON. CES. CMM. COALESCE/ROSECROSS. CONVEYANCE. COURIERSHELL. CSRC or non-CES ... – PowerPoint PPT presentation

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Title: Knowledge Network Analysis


1
Knowledge Network Analysis
2
Knowledge Transfer Challenges
Learning, Sharing, Trusting, Privacy, Formality
INFO/INDUSTRIAL AGE GAP A BRIDGE TOO FAR?
Purge Old Think Retain Wisdom
A L I E N
?
THUMB TRIBE
BIG RED BLOB
MILLENNIALS GEN X
BABY BOOMERS SILENT
Viet Nam Oversight
Civil Unrest Litigation
Almighty A Evil Empire
9/11 Y2K
GWOT Web 2.0
Peace Div ROW
REF PTS
Population Expected in 2011
3
Its About the People
Demands Personal Transformation
?
Link IM Forum Email Blog Wiki
Class Phone Meeting Memo Log QC
4
Knowledge Transfer Objectives
1. Prioritize Transfer Needs
2. Map Knowledge Assets
3. Capture To Access
WikiInfo
4. Enculturate
Networking Mentors
se.NSA.tion
5. Balance Asset Investments
5
A Special Blend
Implicit Approach, Explicit Results
SOCIAL ACTION RESEARCH
SOCIAL NETWORK ANALYSIS
KNOWLEDGE NETWORK ANALYSIS
6
Knowledge Network Analysis
Self-aware, Net-centric, Systems Dynamics
Approach
  • Decision Aid with Metrics
  • Knowledge Gain/Loss Assessment
  • Work Performance Networks
  • Transfer Needs Priority
  • Best Sharers Successors
  • Mentor Match-Making Capture Method
  • Side Benefits
  • Easy, Quick, Cheap
  • Employees Feel Valued

7
DIR Requested Pilot
  • Purpose
  • Demo Utility of SNA for Internal NSA
  • Tacit Implicit Knowledge Transfer
  • Resources
  • Interview Time
  • UCINet/NetDraw License
  • Initial Steps
  • Sought Key Knowledge Set Need
  • Leaders Could Not Name It, But Could
  • Name Go-to People

8
Data Flow Manager
TRAFFIC FAIRY!
DATA
ANALYST DESK
What How Does Traffic Fairy Know?
9
KNA Pilot Process (SNA SAR)
  • Gathered Snowball-sample, Inter-subjective Data
  • Who Do You Go To For Work Knowledge?
  • Verified Notes In Writing
  • Captured Bi-Modal Data In EXCEL
  • People with Attributes Expertise Nodes
  • P to P P to E Links
  • Used UCINet/NetDraw For Analysis Display
  • Quantified Attributes, Characteristics
  • Mapped Performance Network
  • Validated Results With Interviewees
  • Sought Accepted Display Interpretations
  • Collaboratively Got Insights, Recommendations

10
Network of DFMs From Interviewees
Interviewed Not Interviewed
11
Ricks Ego Net re DFM Knowledge
Interviewed Not Interviewed
12
Edies Ego Net re DFM Knowledge
13
Many Work Roles in DFM Network
Jacki
Rick
Marylou Feigl
14
Many Orgs in DFM Knowledge Net



Unk Contractor
15
Go To People, Sized By In-Degree
Interviewed Not Interviewed
16
Knowledge Sought
People Expertise
RAMPART
SANDDOLLAR
CAROUSEL-CARILLON
UCA
MINUTEMAN
WORLDPULSE
SLATEWRITER
Subshell
OCTAVE
CMM
NUCLEON
THORIA
COALESCE/ROSECROSS
DRT Boxes
OPENVIEW
Unknown
GPS
Y2K
RAPPEL
Common Site Architecture
Collection
Managing DFMs
Old Days incl BLACKWATCH-STRUMM
Signals Conversion/Analysis
DDI Routing
CONVEYANCE
PORT COLLIS
HARBORVIEW
HYBRID-SEMESTER
WATERWAY
BOURNESEASHELL
FASCIA/MAINWAY
HF ALE
Math
TOPVIEW
FAIRVIEW
Raw Signals
WATERBOY
CSRC or non-CES
A5 Model of DFM
Chronolog
Hanging Tapes
Training-Mentoring
CES
HBC Phones
TOWNCRIER
Voice
WATERFRONT
Monitoring Activity - Watch
FAX
F6/SCS
VOICESAIL
REMEDY
SOPs - Checklists
WHIRLPOOL
Medina RSOC
CAPRI
DRILLMASTER Testing
YELLOWSTONE
FORNSAT
Initial Flows
Monitoring Activity Watch Digger
C2C
Software-Computer Science
2nd/3rd Party
MAILORDER
Analysis
Gordon Needs
CryptAnalysis
WHOLLY EXULT
Special Source
Text
SCISSORS
Audio
GALLAVANT
Tele Cipher
PINWALE
Minimization
SITE C - Mission Assurance
DNI
DICTIONARY
GSM
TINSEL
ETCHING NEEDLE
G Group Model (Keywords)
SMS
DF versus threads
Z AP
CADENCE
Nice Interpersonal Skills
BIXLER
BLACK..
FISHWAY
Futures Team
SHIPMASTER
Filtering Selection
SPLITGLASS
Group Cipher
FOURSCORE
COURIERSHELL
FRUITCAKE
Compliance-USSID 18
UNIX
FOLKLORE
Super Computer
Linguist
WEALTHY CLUSTER
SQL
Supporter of DFM
17
DFM Knowledge Content Defined
60
53
50
40
119 Unique Topics Mentioned
30
19
18
20
15
7
10
4
3
0
site
data
skill
trait
project
method
experience
Subjectively Grouped
18
Shared Knowledge Sets
People Expertise
19
Retirement Eligibility (Risk of Loss)
Unknown Not eligible Early retirement MRA
10 Regular Retirement
Marylou
Andre
Diane
Rickey
Edie
Jack
20
Results
  • Mapped High-Performance Cross-Org Net
  • Key Knowledge Set Defined
  • 119 Expertise Areas, Majority NSA Specific
  • Confirmed Denied TDs Perspective
  • Others Key Too, 1 Gone Still Sharing, 1 Tactical
  • Recreated Work Role Career Dev Training
  • New Cryptologic Acquisition Field Expanded
  • Basic, Journeyman, Master Levels
  • Found, Mitigated Knowledge Loss Risk
  • Rehired Lost Key Player, Retained Knowledge
  • Successor Named, Self-Formed Mentor Pair
  • Improved Cross-Org Mgmt Collaboration

21
Pilot Conclusion
  • KNA is POWERFUL!
  • Defines Key Knowledge Content
  • Discovers Best at Transferring It
  • Confirms And Denies Bias
  • Identifies Specific Loss Risks
  • Informs Risk Mitigation
  • Suggests Potential Succession

22
Next Steps
  • Teach diy KNA Or Provide KNA Service
  • Start With Work Performance, Go-tos
  • Use SAR To Gather Data, Interpret Results
  • Use SNA To Measure, Visualize Network
  • Enable Web 2.0 Use
  • Overarching (Remedial) Education Strategy
  • Proselytize, Gain Converts Thru Good Works

23
To See More, Stand on Shoulders
  • Read
  • HIDDEN POWER OF SOCIAL NETWORKS, DEEP SMARTS,
    SPRINGBOARD, WORKING KNOWLEDGE, WORLD IS FLAT,
    MEDICI EFFECT, BLINK, MILLENNIALS RISING
  • Online, Related Works
  • Relate
  • Combine SNA and Social Action Research
  • Join UVA/SNA Roundtable or UK/LINK and SOL
  • Google Knowledge, Discover Blogospheres
  • Write Wiki Articles, Blog, Rate Others
  • Be Bold Comment, Wikify, Garden, Link Others
  • Remember
  • I can haz blog so can u
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