This document discusses using algorithms like density-based clustering and natural language processing to analyze social media data and identify the most street art friendly cities based on the number of street art sightings posts while accounting for city population size. The analysis found that New York, Los Angeles, Chicago, San Francisco, Boston, and Philadelphia had the most street art sightings relative to their large metro area populations, identifying them as street art friendly cities.

1. alex smolyanskaya
beautiful*city
discover street art around the world

2. no single source for street art info
street art is transient

3. density-based
clustering
(DBSCAN)#streetart
beautiful*city :: algorithm
geo
clustering

4. density-based
clustering
(DBSCAN)#streetart
beautiful*city :: algorithm
tokenization, cleaning,
“relevant” = TF-IDF > 0.7
geo
clustering
natural
language
processing
7,000+ street artists
#localflavor,
#bansky

5. density-based
clustering
(DBSCAN)#streetart
beautiful*city :: algorithm
/post
#localflavor,
#bansky
7,000+ street artists
tokenization, cleaning,
“relevant” = TF-IDF > 0.7
geo
clustering
natural
language
processing
cluster
ranking

6. 10,000 100,000 1,000,000 10,000,000 100,000,000
10,000
100,000
1,000
100
10
street art friendly cities
population (metro area)
streetartsightings
New York
Los Angeles
Chicago

7. 10,000 100,000 1,000,000 10,000,000 100,000,000
10,000
100,000
1,000
100
10
population (metro area)
streetartsightings street art friendly cities
San Francisco
Boston
Philadelphia

8. 10,000 100,000 1,000,000 10,000,000 100,000,000
10,000
100,000
1,000
100
10
population (metro area)
streetartsightings street art friendly cities

9. alex smolyanskaya
decision-making &
memory

10. screen shot