Social Data Lab 1

Social Data is the New Oil

Andreas Weigend, PhDStanford University

Social Data Lab

@aweigend

Social Data Lab 2

Outline

• Examples– Airnbnb. Branchout. Any.do. Instagram.

• The Past– Content. Community. Commerce.

• The Future– Context. Connection. Conversation.

• 5 Rules for Big Data

@aweigend

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Social Data

–Airnbnb• vs Craigslist

–Branchout• vs LinkedIn

–Any.do• vs non-social task lists

– Instagram• vs traditional photo sharing sites

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The C’s of the 2000’s

–Content• Google

–Community• Facebook

–Commerce• Amazon

• Impact on the way we think / relate / transact?

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The 2000’s

• Content

• Community

• Commerce

The 2010’s

• Context

• Connection

• Conversation

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Context

• Data (“non-social”)– Searches– Sensors

– … ?

• Social Data– Photos– Tags

– ... ?

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Exercise: Talk to your neighborand come up with data sources

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Connection

• Identity– from attribute-based …– … to relationship-based

• Example: Impact on Marketing– from segment …– … to individual

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Conversation

– from “Markets are Conversations” …– … to “Conversations are Markets”

• Most conversations are peer to peer

• Social data vs social media

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Recap of Part 1

• Examples– Airnbnb. Branchout. Any.do. Instagram.

• The Past– Content. Community. Commerce.

• The Future– Context. Connection. Conversation.

@aweigend

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Part 2

Five Rules for Big Data

@aweigend

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1. Start with the problem, not with the data

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2. Base the equation of your business on customer centric metrics

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3. Make it trivially easy for people to contribute, connect, and

collaborate

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4. Give data to get data

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5. Let people do what people are good at, and computers what

computers are good at

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Thou shalt not blame technology for barriers of institutions and society

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Questions?

Thank you.aweigend@stanford.edu

@aweigend

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Social Data is the New Oil

• Contact– aweigend@stanford.edu– 650 906-5906 (mobile)– weigend.com

• Lab– socialdatalab.stanford.edu

• Videos– youtube.com/socialdatarevolution

@aweigend