the math that matters

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The Math that Matters in the Realtime Web SXSW 2012 | #MathMatters Gilad Lotan | @gilgul

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Page 1: The Math That Matters

The Math that Matters in the Realtime Web SXSW 2012 | #MathMatters

Gilad Lotan | @gilgul

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Illustra(on:  Ma.  Taylor  

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Flickr:  mangpages  

Attention is the Bottleneck

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Information Flows through People

Alex  Dragulescu  

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Flickr:  sharynmorrow  

$ = f(Channel, Demographics, Time, …)

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$ = f(Topic, Network, Timing, Influence, Trust, “engagement” …)

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Daily Routines

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Data Reflects Us

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Language / Time Zone 49ers:  36,    Saints:  32  

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Game  starts  

Game  ends!  

49ers  

Typical Sports Event

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GOP debates

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#gayrights,  #lgbt,  #jesus,    #flipflop,  #jobs,  #economy  

#pales(ne,  #OWS,  #immigra(on,  #abor(on  

#republican,  #dems,    #economics,  #amnesty  

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•  Know your data •  Identify deviations from the norm (important

events) •  Identify types of events (shape of the curve) •  Understand context (language)

•  Co-occurrence (relationship between terms)

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Invisible Audiences

Flickr:  leN-­‐hand  

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Seeing Millions of Conversations

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Al-Jazeera Fox News

Difference between Audiences

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What Audiences are Clicking on?

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Shape of an Audience

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Pi.sburgh  

Oklahoma  City  

Noblesville,  IN  

Engelwood,  Dayton,  OH  

Birmingham,  AL  

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1.4m   4.6m   3.9m   1.7m   620k   879k  

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•  28.7%  of  those  who  follow  The  Economist  also  follow  the  New  York  Times.  This  is  the  highest  intersec(on  in  terms  of  percentage.  

•  19%  of  those  who  follow  Al-­‐Jazeera  English  also  follow  the  New  York  Times.  

•  Of  the  people  who  follow  either  CNN  or  New  York  Times,  9.5%  follow  both.  

•  663  users  follow  all  six  news  accounts.  

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Clicks per Tweet

Clicks per Tweet (norm) RT per Tweet (norm)

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•  Know your audience – What they talk about (audience TTs) – Who else they follow –  Their shape (clusters)

•  More followers != More engagement

•  Driving traffic vs. Building a Network (reach)

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Information Flows

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Influencer: An individual who disproportionately affects the spread of information

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“Influence” as an Exposed Metric is Problematic

•  Simple quantifiable measure •  People aren’t always rational – may trust

someone despite past transgressions •  Dynamic – changes constantly •  Exogenous – may come from outside the

observed network •  Based on Context

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Gaining Your Network’s Trust

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Urban Outfitters vs. NYC Crafters

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Going Viral is Usually Unexpected

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“I’m  not  a  Twi.er  celebrity  by  any  means.  I  barely  had  over  1000  followers  when  the  day  began...  What  I  do  have  is  a  tribe.  A  #ght  knit  group  of  independent  ar#sts  and  cra4ers  that  follow  me.  My  cause  resounded  with  them.  They  spread  it,  and  their  friends  spread  it,  and  a  few  big  influencers  on  Twi.er  spread  it,  and  then  it  was  gone”  

Network Type + Resonance > Network Size

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Not necessarily about being first

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•  Trust •  Context Setting •  Having the right network in place (“tribe”) •  Bridges

Instead of “Influence”, think about:

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-  Know your audience What type of people follow you, how they’re connected Alignment between content and audience

-  No to vanity metrics

more followers doesn’t necessarily mean more engagement

-  Bridges vs. Influencers

just because we’re connected doesn’t mean information will flow

-  Clicks vs. Retweets what are you optimizing for?

-  Building up the Right Network

trust, resonance

-  Not about being first

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Thank You

Gilad Lotan | @gilgul [email protected]