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Urban Cognitive Analytics
Sensing people-place interactions
from urban digital footprints
Doctoral Researcher: Sharon Richardson

Supervised by: Professor Andrew Hudson-Smith and Dr Hannah Fry
sharonr@joiningdots.com | @joiningdots | linkedin.com/in/sharonr
Research Question
Now
Contextual

reasoning

(Probable)
Formal Model

(Plausible)
Informal Intuition

(Possible)
FuturePast
Can we digitally sense the ‘vibe’ of urban open spaces, where conditions are uncertain and changeable?
All behaviour arises from a person-situation interaction
Spatial focus: Queen Elizabeth Olympic Park
Context - Presence - Behaviour
What’s happening? Where is everybody? What are they doing?
weekday weekend
Urban Digital Footprints
Daily volumes
from May to
August 2016
Contextual
factors:
• Seasonal expectations
• Workday vs holiday
• Climate (temperature
and precipitation)
• Situation (events and
social behaviours)
• Space and time
Linguistic Variation in Tweets
Sat June 4th
Cosine Similarity Sat Jun 4th Sat Jun 11th Sat Jun 18th Sat Jun 25th
Sat Jun 4th 1.0000 0.2360 0.1176 0.2365
Sat Jun 11th 0.2360 1.0000 0.4082 0.7092
Sat Jun 18th 0.1176 0.4082 1.0000 0.3904
Sat Jun 25th 0.2365 0.7092 0.3904 1.0000
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Sat	4th
Sat	11th
Sat	18th
Sat	25th
Similarity	in	terms	used	between	dates
Sat	4th Sat	11th Sat	18th Sat	25th
Events at the Queen Elizabeth Olympic Park:
- AC/DC concert at stadium on Saturday 4th June
- International hockey tournament at VeloHTC from 10th to 26th June
Sat June 11th Sat June 18th Sat June 25th
Emotion Scores
0	
0.005	
0.01	
0.015	
0.02	
0.025	
affec+on	 anger	 anxiety	 expressive	 glory	 posi+ve	 sadness	 social	
Twitter RID Emotion Scores
07/08/16
21/08/16
14/08/16
28/08/16
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
A3_HackneyWick B4_Stadium C3_Westfield C4_Aquatics
Average sentiment score (+ve/-ve words) for tweets
7th Aug
21st Aug
14th Aug
28th Aug
running under the a at hackney wick dark and a little bit sinister running summer london
louisregan hopefully man city will demolish your shit team today put the london stadium in its place coyidiots
c c rail can you negotiate with greateranglia tflrail to still send c c rail into stratford even they all terminate that station
jam n ib rico con queso jam n queso jamon cheese lunch piecesofheaven enriquethomas
that awkward moment when you help your parents miss their train to holland riasmit rs
last street beat battle trailer don t miss the crazy battles friday th september all
i actually despise everything westham have become the move to the london stadium has ripped the soul out of that club
hoaxerttv mrblakerz poseyxr elevatemunoz orbit dramis i randomly hopped on gb this am and there was one today
the olympic stadium on a sunday morning is without a doubt the weirdest place in london
have taken the perhaps terrible decision to go to westfield in stratford to look for shoes probably going to be hellishly packed
kicchasudeep hi kiccha bro iam already watch k twise and now i am watching with my brother now intermission orbit break
on my way to gatwickairport i m going to miss her so much here she is fighting her favourite
back at one of my career highlights but also where i nearly died at lee valley velopark
santandercycles very annoying to reach end of cs stratford and discover that there s no docking station near there extra to find one
telefootball can see the move to to the london stadium being a curse for hammers
sunday behaviour at worst with food foodpron at westfield stratford shopping centre london
why do i frown at westfield stratford city
humans put nasajuno in polar orbit around jupiter human begins fb post i am disappointed with color
at shake shack stratford
darnz baiting out paedophiles in stratford westfield gone wrong got bottled jyqcvxjqyv
Events at the Queen Elizabeth Olympic Park:
- Football at the London Stadium on 7th and 14th
- No scheduled events on 21st and 28th
- Incident on the 28th???
Term analysis (punctuation removed before tokenisation)
Contextual analysis in near real-time
http://joiningdots.net/spatialmedia
(offline demo)
(offline demo)
(offline demo)
(offline demo)
(offline demo)
(offline demo)
(offline demo)
(offline demo)
(offline demo)
Data Mining
Layered analytics
Context Analysis
Network analysis of terms in tweets
Community Detection
Community Detection Scores
fg = Fast Greedy
gn = Girvan-Newman (baseline)
im = Infomap
lv = Louvain
pl = Pons and Latapy
g = simplified graph (remove loops and multiples)
g1 = original graph converted from Gephi to iGraph
g1.gexf = original graph as imported (Gephi file)
Self-supervised learning
Step 1: Analyse (current) network
- Detect communities forming within network
- Convert each community into a set of terms
Step 2: Create dictionary
- Merge sets with <4 items into single ‘noise’ set
- Create dictionary of topics with hierarchy for topic / term set
Step 3. Classify tweets
- calculate tweet score based on similarity with each topic
- classify tweet with topic that scores the highest similarity
Step 4: Evaluate clusters
34
26
20
9 9
8
7 7 7
4 4
3 3 3 3
2 2 2 2 2 2 2 2 2 2 2 2
0
5
10
15
20
25
30
35
40
27 8 25 5 14 1 3 9 13 4 18 2 6 19 22 7 10 11 12 15 16 17 20 21 23 24 26
Number	of	Hashtags	per	Community	(27	communities)
Number	of	Hashtags
The science of where people are
image: https://pxhere.com/en/photo/1392001
Sensing population dynamics:
• Administrative
Residential census
• Ambient
Average workday
• Active
Near real-time
Quantifying the population at risk…
Anticipating behaviour: 

levels of spatial familiarity
What’s around the corner?
Urban Cognitive Analytics
Sensing people-place interactions
from urban digital footprints
Doctoral Researcher: Sharon Richardson

Supervised by: Professor Andrew Hudson-Smith and Dr Hannah Fry
sharonr@joiningdots.com | @joiningdots | linkedin.com/in/sharonr

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Urban Cognitive Analytics

  • 1. Urban Cognitive Analytics Sensing people-place interactions from urban digital footprints Doctoral Researcher: Sharon Richardson
 Supervised by: Professor Andrew Hudson-Smith and Dr Hannah Fry sharonr@joiningdots.com | @joiningdots | linkedin.com/in/sharonr
  • 2. Research Question Now Contextual
 reasoning
 (Probable) Formal Model
 (Plausible) Informal Intuition
 (Possible) FuturePast Can we digitally sense the ‘vibe’ of urban open spaces, where conditions are uncertain and changeable? All behaviour arises from a person-situation interaction Spatial focus: Queen Elizabeth Olympic Park
  • 3. Context - Presence - Behaviour What’s happening? Where is everybody? What are they doing? weekday weekend
  • 4. Urban Digital Footprints Daily volumes from May to August 2016 Contextual factors: • Seasonal expectations • Workday vs holiday • Climate (temperature and precipitation) • Situation (events and social behaviours) • Space and time
  • 5. Linguistic Variation in Tweets Sat June 4th Cosine Similarity Sat Jun 4th Sat Jun 11th Sat Jun 18th Sat Jun 25th Sat Jun 4th 1.0000 0.2360 0.1176 0.2365 Sat Jun 11th 0.2360 1.0000 0.4082 0.7092 Sat Jun 18th 0.1176 0.4082 1.0000 0.3904 Sat Jun 25th 0.2365 0.7092 0.3904 1.0000 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Sat 4th Sat 11th Sat 18th Sat 25th Similarity in terms used between dates Sat 4th Sat 11th Sat 18th Sat 25th Events at the Queen Elizabeth Olympic Park: - AC/DC concert at stadium on Saturday 4th June - International hockey tournament at VeloHTC from 10th to 26th June Sat June 11th Sat June 18th Sat June 25th
  • 6. Emotion Scores 0 0.005 0.01 0.015 0.02 0.025 affec+on anger anxiety expressive glory posi+ve sadness social Twitter RID Emotion Scores 07/08/16 21/08/16 14/08/16 28/08/16 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 A3_HackneyWick B4_Stadium C3_Westfield C4_Aquatics Average sentiment score (+ve/-ve words) for tweets 7th Aug 21st Aug 14th Aug 28th Aug running under the a at hackney wick dark and a little bit sinister running summer london louisregan hopefully man city will demolish your shit team today put the london stadium in its place coyidiots c c rail can you negotiate with greateranglia tflrail to still send c c rail into stratford even they all terminate that station jam n ib rico con queso jam n queso jamon cheese lunch piecesofheaven enriquethomas that awkward moment when you help your parents miss their train to holland riasmit rs last street beat battle trailer don t miss the crazy battles friday th september all i actually despise everything westham have become the move to the london stadium has ripped the soul out of that club hoaxerttv mrblakerz poseyxr elevatemunoz orbit dramis i randomly hopped on gb this am and there was one today the olympic stadium on a sunday morning is without a doubt the weirdest place in london have taken the perhaps terrible decision to go to westfield in stratford to look for shoes probably going to be hellishly packed kicchasudeep hi kiccha bro iam already watch k twise and now i am watching with my brother now intermission orbit break on my way to gatwickairport i m going to miss her so much here she is fighting her favourite back at one of my career highlights but also where i nearly died at lee valley velopark santandercycles very annoying to reach end of cs stratford and discover that there s no docking station near there extra to find one telefootball can see the move to to the london stadium being a curse for hammers sunday behaviour at worst with food foodpron at westfield stratford shopping centre london why do i frown at westfield stratford city humans put nasajuno in polar orbit around jupiter human begins fb post i am disappointed with color at shake shack stratford darnz baiting out paedophiles in stratford westfield gone wrong got bottled jyqcvxjqyv Events at the Queen Elizabeth Olympic Park: - Football at the London Stadium on 7th and 14th - No scheduled events on 21st and 28th - Incident on the 28th??? Term analysis (punctuation removed before tokenisation)
  • 7. Contextual analysis in near real-time http://joiningdots.net/spatialmedia
  • 18. Context Analysis Network analysis of terms in tweets
  • 19. Community Detection Community Detection Scores fg = Fast Greedy gn = Girvan-Newman (baseline) im = Infomap lv = Louvain pl = Pons and Latapy g = simplified graph (remove loops and multiples) g1 = original graph converted from Gephi to iGraph g1.gexf = original graph as imported (Gephi file)
  • 20. Self-supervised learning Step 1: Analyse (current) network - Detect communities forming within network - Convert each community into a set of terms Step 2: Create dictionary - Merge sets with <4 items into single ‘noise’ set - Create dictionary of topics with hierarchy for topic / term set Step 3. Classify tweets - calculate tweet score based on similarity with each topic - classify tweet with topic that scores the highest similarity Step 4: Evaluate clusters 34 26 20 9 9 8 7 7 7 4 4 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 0 5 10 15 20 25 30 35 40 27 8 25 5 14 1 3 9 13 4 18 2 6 19 22 7 10 11 12 15 16 17 20 21 23 24 26 Number of Hashtags per Community (27 communities) Number of Hashtags
  • 21. The science of where people are image: https://pxhere.com/en/photo/1392001 Sensing population dynamics: • Administrative Residential census • Ambient Average workday • Active Near real-time Quantifying the population at risk… Anticipating behaviour: 
 levels of spatial familiarity What’s around the corner?
  • 22. Urban Cognitive Analytics Sensing people-place interactions from urban digital footprints Doctoral Researcher: Sharon Richardson
 Supervised by: Professor Andrew Hudson-Smith and Dr Hannah Fry sharonr@joiningdots.com | @joiningdots | linkedin.com/in/sharonr