Big Data and Social Data
Mining
Fosca Giannotti KDDLAB
http://kdd.isti.cnr.it
Università di Pisa & ISTI-CNR, Italy
BIG Dat...
Shopping patterns & lifestyle
Desires, opinions, sentiments
Relationships & social ties
Movements
Big data “proxies” of so...
GPS: detailed movements within an
area
Social Networks: goal of the
movement
23 luglio 2013 Analisi di Reti Sociali.
Aprile-Maggio 2011
10
Big data & new
questions to ask
Google Flu Trends
Nature 457, 1012-1014 (2009)
where-is-the-happiest-city-in-the-usa?
Social mining is about
• discovering patterns and models of human
behaviour across the various social
dimensions that have...
BIG DATA
as a proxy
of human mobility
A12 Sud
Cascina
Marina di Pisa/Tirrenia
Lucca
Understanding city access paths
Understanding city access paths
Discovering individual systematic movements
Work-Home
Home-Work
Using the profiles to classify the incoming flows
Mobility profile matching
Mobility
Profile
Mobility
Profile
Spatio Temporal
Routing matches
User A (as driver) User B (as ...
Understanding car pooling impact
?
Community
=
Suggestion
=
Actual Network
Matching Network
Mobility Atlas of a town
Analyze individual call habits from
GSM data to recognize profiles
–Resident
–Commuters
–Visitors/Tourists
Call Habit Profile Construction
Users’ call
habit
profile
Week: working days &
weekend
0:00-7:59
8:00-18:59
19:00-23:59
Resident profile classification
Resident profile
Commuter profile classification
Resident profile
Commuter profile
Visitor profile classification
Resident profile
Commuter profile
Visitor profile
Night visitors
Daylight visitors
Urban Sociometer
Resident profile
Commuter profile
Visitor profile
Among the unclassified there are other
interesting prof...
Discover the borders of mobility
Salvatore Rinzivillo, Mainardi, Pezzoni, Michele Coscia, Dino Pedreschi, Fosca Giannotti:...
Mirco Nanni, Roberto Trasarti, et al.:
MP4-A Project: Mobility Planning for Africa. “Data for Development” Orange challeng...
Mirco Nanni, Roberto Trasarti, et al.:
MP4-A Project: Mobility Planning for Africa. “Data for Development” Orange challeng...
Data scientist,
the sexiest job of 21st century
• … a new kind of
professional has
emerged, the data
scientist, who combin...
Knowledge Discovery & Data Mining Laboratory | kdd.isti.cnr.it
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013
Upcoming SlideShare
Loading in …5
×

Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013

1,023 views

Published on

In questo mondo di dati, aperti
In this world of - open - data
Dans ce mondo de données, ouvertes

Ambasciata del Canada, 10 luglio 2013

Published in: News & Politics, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,023
On SlideShare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
17
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Fosca Giannotti - Università di Pisa & ISTI-CNR - Big Data and Social Data Mining - July 2013

  1. 1. Big Data and Social Data Mining Fosca Giannotti KDDLAB http://kdd.isti.cnr.it Università di Pisa & ISTI-CNR, Italy BIG Data 10 July 2013
  2. 2. Shopping patterns & lifestyle Desires, opinions, sentiments Relationships & social ties Movements Big data “proxies” of social life
  3. 3. GPS: detailed movements within an area
  4. 4. Social Networks: goal of the movement
  5. 5. 23 luglio 2013 Analisi di Reti Sociali. Aprile-Maggio 2011 10
  6. 6. Big data & new questions to ask
  7. 7. Google Flu Trends Nature 457, 1012-1014 (2009)
  8. 8. where-is-the-happiest-city-in-the-usa?
  9. 9. Social mining is about • discovering patterns and models of human behaviour across the various social dimensions that have big data "proxies" nowadays : –desires and opinions, –relationships and social ties, – life-styles – mobility
  10. 10. BIG DATA as a proxy of human mobility
  11. 11. A12 Sud Cascina Marina di Pisa/Tirrenia Lucca Understanding city access paths
  12. 12. Understanding city access paths
  13. 13. Discovering individual systematic movements Work-Home Home-Work
  14. 14. Using the profiles to classify the incoming flows
  15. 15. Mobility profile matching Mobility Profile Mobility Profile Spatio Temporal Routing matches User A (as driver) User B (as passenger) A can serve most of the routines of B the match is suggested.
  16. 16. Understanding car pooling impact ? Community = Suggestion = Actual Network Matching Network
  17. 17. Mobility Atlas of a town
  18. 18. Analyze individual call habits from GSM data to recognize profiles –Resident –Commuters –Visitors/Tourists
  19. 19. Call Habit Profile Construction Users’ call habit profile Week: working days & weekend 0:00-7:59 8:00-18:59 19:00-23:59
  20. 20. Resident profile classification Resident profile
  21. 21. Commuter profile classification Resident profile Commuter profile
  22. 22. Visitor profile classification Resident profile Commuter profile Visitor profile Night visitors Daylight visitors
  23. 23. Urban Sociometer Resident profile Commuter profile Visitor profile Among the unclassified there are other interesting profiles: - The occasional visitors; - The «night visitors».
  24. 24. Discover the borders of mobility Salvatore Rinzivillo, Mainardi, Pezzoni, Michele Coscia, Dino Pedreschi, Fosca Giannotti: Discovering the Geographical Borders of Human Mobility. KI 26(3): 253-260 (2012)
  25. 25. Mirco Nanni, Roberto Trasarti, et al.: MP4-A Project: Mobility Planning for Africa. “Data for Development” Orange challenge, 2013
  26. 26. Mirco Nanni, Roberto Trasarti, et al.: MP4-A Project: Mobility Planning for Africa. “Data for Development” Orange challenge, 2013
  27. 27. Data scientist, the sexiest job of 21st century • … a new kind of professional has emerged, the data scientist, who combines the skills of software programmer, statistician and storyteller/artist to extract the nuggets of gold hidden under mountains of data.
  28. 28. Knowledge Discovery & Data Mining Laboratory | kdd.isti.cnr.it

×