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Meme Mining for Fun and Profit

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Recent layoffs in 2005. IBM 13,000 Hypercom. Sun another 5% BMC. GM 25,000 Krispy Kreme ... Alcoa 6,500 DHL. Winn Dixie 22,000 American Express. Lear ... – PowerPoint PPT presentation

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Title: Meme Mining for Fun and Profit


1
Meme Mining for Fun and Profit
  • By Broward Horne
  • DefCon 13

2
Geek Story
  • My Flight From New Jersey

3
Me
  • Why should you listen to me?
  • Hacked some systems prior to 1991

4
Our Goal Ride the Technology Wave
  • Operational S-curve theory
  • Tactical MemeMiner Parlor Tricks
  • Strategic Social Bandwidth

5
Dot Com Crash Continues?
  • Recent layoffs in 2005
  • IBM 13,000 Hypercom
  • Sun another 5 BMC
  • GM 25,000 Krispy Kreme
  • GE reorganization Cray
  • Alcoa 6,500 DHL
  • Winn Dixie 22,000 American Express
  • Lear 7,700

6
What To Do?
  • Your time and effort are finite.
  • The IT market changes constantly.
  • What skills should you focus on?
  • A mistake can be costly.

7
Technology Meme Propagation
  • Exponential Function
  • 1 -gt 2 -gt 4 -gt 8, etc
  • Until population saturation
  • Known generically as an S-Curve

8
S-Curve
  • Fundamental business function

9
Detailed S-Curve
  • Inflection Point is 50 mark

10
S-Curve Predictive Power
  • Change in Rate of Change is key

11
Peak Oil
  • Audience What is Peak Oil?
  • Hubbert used S-curve to predict Peak Oil event in
    United States

12
Harry Dent
  • Great Boom Ahead S-Curve

13
Spawned S-Curves
  • Newbury Networks Wifi Tracking System

14
Meme Mining Theory
  • Frequency count is proxy for S-curve
  • Monitor technical trends
  • Poor Mans Data Miner Equalizer

15
Meme Miner
  • Simple java program (show code)
  • Executes sequential queries
  • Builds chart with query results

16
Historical Graphs
  • Work can you identify the pattern?

17
Historical Graphs
  • Easter Bunny

18
Historical Graphs
  • Comdex shows no recovery

19
Historical Graphs
  • High correlation to stock price

20
Historical Graphs
  • Palladium rumors precede rise (Latency)

21
Historical Graphs
  • Shrinking Latency?

22
Historical Graphs
  • Classic S-curve points of interest

23
Real-Life Usage
  • Delphi Programming Language

24
Pre-inflection Graphs
  • Trends in Scripting Languages

25
Pre-inflection Graphs
  • WIMAX about to explode?

26
Pre-inflection Graphs
  • Blogs ( 27 dont know what it is )

27
Pre-inflection Graphs
  • Wi-fi phone is hot

28
Pre-inflection Graphs
  • Inflection tends to be at 50 point
  • Inflection point is maximum hysteria
  • What can we predict about blogging?

29
Pre-inflection Graphs
  • RSS Feeds

30
Miner Deficiencies
  • Requires knowledge of trend to test
  • Subject to manipulation
  • Not statistically rigorous
  • Dependent on good keywords
  • Works poorly for non-technical trends

31
Potential Improvements
  • Use RSS feeds to catch trend earlier
  • Skewing factor for search engines
  • Extract more abstract relationships

32
Moores Law
  • Justification for continued IT boom
  • But are there other limiting factors?

33
Social Bandwidth
  • People have finite bandwidth
  • People have finite storage
  • Shared context impacts bandwidth

34
People Spend Time On
  • Activities they enjoy
  • Activities theyre forced to do
  • All others are discarded over time

35
Average Person
36
Paris Hilton
37
Internet S-Curve
  • Has Internet Growth peaked?
  • What happens if growth peaks?

38
DejaNews Frequency Count
  • Rough Proxy for Internet Growth

39
Major Events
40
DejaNews Anomaly
  • Market saturation?

41
Dejanews Falloff
  • Shift to blogging
  • Changes in Google methodology
  • Slowing rate of change in Net Growth

42
Radical Concepts?
  • POI Price Of Information
  • COI Cost Of Information
  • Schramms Model Context
  • nate_at_metricaldesign.com

43
High Level Model
  • The Information Technology Boom

44
Cost of Information
  • Marginal Cost versus Marginal Return

45
Cost Versus Price
  • Diversity versus Cost

46
IT Trend Change
  • Marginal cost exceeds return

47
Schramm Model
48
Schramm Derivatives
  • Reduce COI by reducing transactions
  • Reduce COI through group context
  • Microbrewery model (current employer)
  • Restaurant Management (UNLV)
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