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Lu
tzFi
nger
.com
Disclaimer
The points of view in this presentation are my own and might not reflect LinkedIn’s opinion.
Lu
tzFi
nger
.com
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Lu
tzFi
nger
.com
ASK the right Questions.
MEASURE the right data – even if it
is not Big data.
Take Actions and LEARN from them.
?
Lu
tzFi
nger
.com
ASK the right Questions.
MEASURE the right data – even if it
is not Big data.
Take Actions and LEARN from them.
?
Lu
tzFi
nger
.com
Small not BIG Data
• Connec,ons • Skills • User behavior • Subscriber Data • Sales Data (geo-‐localized) • Group discussions • ….
Lu
tzFi
nger
.com
Data Science
IRRELEVANT NOISE
METRICS
RELEVANT DATA
Petabyte Gigabyte
Byte
Terabyte 1 2 3
4
Lu
tzFi
nger
.com
• Opinion leaders (Katz 1955) • Influentials (Merton 1968) • Law of the Few (Gladwell 2000)
A Clear Ask: Influencer
Lu
tzFi
nger
.com
• Opinion leaders (Katz 1955) • Influentials (Merton 1968) • Law of the Few (Gladwell 2000)
Measure: Connectivity
Lu
tzFi
nger
.com
Measure: Influence
Source: Kevin Lewisa, Marco Gonzaleza and Jason Kaufman (2012): PNAS Vol 109, no 1
• 4 years • 1001 Students on Facebook • Traditional Self-reported Data • How did taste Spread
Lu
tzFi
nger
.com
The Influencer Myth
Influence is often overestimated:
• Reach
• Readiness • Topic Dependence
Lu
tzFi
nger
.com
LinkedIn Recommendations People You May Know Groups You May Like Ads in WhichYou May Be Interested Companies You May Want to Follow
Pulse Similar Profiles
Lu
tzFi
nger
.com
Academy
Industry Professionals
Ac,ve Movie Goers
All Movie Goers
The measurement Was social media Mentions… And not the right predictions
Predicting the OSCARs
Lu
tzFi
nger
.com
Avoid!
• Cause is not Correlation
• Cause is not Effect
• Probability is NOT the Truth