geomob london september 2011

<urban mining>

<who am i>

daniele quercia

computational social science

</who am i>

<urban mining>

social contacts + social events + privacy

1. recommend social contacts

How? Using mobility data

keep bluetooth on & record who’s around

upload records on registered profile

get people you may know

2. recommend social events

mobility data + …

… + listings of social events

On input of area of residence: 1. popular events 2. geographically close3. popular in area of residence

On input of area of residence: 1. popular events 2. geographically close3. popular in area of residence4. TF-IDF 5. K-N Locations6. K-N Events

Lesson 1: geographically close isn’t the best ;-)

Lesson 2: popular in area rocks ;-)

Lesson 3: geographical patterns matter ;-)

geographical patterns matter

geographically close isn’t the best

‘popular in area’ rocks

[ICDM’10]

pricing billboards

share it all[by Facebook CEO]

share it all[by Facebook CEO]

share nothing[by Wisdom of the Granmother’s Foundation]

share it all[by Facebook CEO]

share nothing[by Wisdom of the Granmother’s Foundation]

share fake data[by Us]

counting phones

counting phones + privacy

Idea:

true location + + “99” fake locations

true location + + “99” fake locations

true location + + “99” fake locations

true location + + “99” fake locations

#phones?

(random) fake locations

Tube passengers in London & car drivers in Zurich: accurately estimate #people

Tube passengers in London & car drivers in Zurich: accurately estimate #people (18% error with 99% fake locations)

(random) fake locations

(random) fake locations

Evade paying taxes?Don’t answer! Flip a coin instead

Yes!

[truth]

true location + + “99” fake locations

true location + + “99” fake locations

true location + + “99” fake locations

promoting location privacy… one lie at a time

Online & Offline Worlds@danielequercia

social media language personality

social media

social media language personality

social media

we can build monitoring tools

r=.350 word count r=.365 MaxEnt

predicting socioeconomic well-being with twitter

predicting personality with twitter

predicting personality with twitter

YES, we can!

predicting personality with twitter

YES, we can!

And

only

using

follow

ers, f

ollowi

ng, li

sted!

informal networks in offices

social interactions & space

“Who talks to whom”

Network

tools for change

Now: Auralist (music recommender)Next: ‘Nudge’ people for serendipity

tools for change

@danielequercia