IDENTITY: PHYSICAL,
CYBER, FUTURE
MATTHEW ROWE
LANCASTER UNIVERSITY, UK
WWW.LANCASTER.AC.UK/STAFF/ROWEM
@MROWEBOT
Dagstuhl...
Identity: Physical, Cyber, Future
1
So ‘identity’; what do we mean?
Identity: Physical, Cyber, Future
2
So ‘identity’: what do we mean?
Identity: Physical, Cyber, Future
3
My
Identity
Shared Identity
Abstracted Identity
Persistent information
Never changes
M...
Identity: Physical, Cyber, Future
4
My
Identity
Shared Identity
Abstracted Identity
Physical
My ‘real world’ name
My paren...
Identity: Physical, Cyber, Future
5
My
Identity
Shared Identity
Abstracted Identity
Cyber
My username/handle
Where I say I...
Identity: Physical, Cyber, Future
6
My
Identity
Shared Identity
Abstracted Identity
Cyber
Intentional
(ego)
Existential
My...
Identity: Physical, Cyber, Future
7
Development =
conflicts
Development
happens through
stages
Identity: Physical, Cyber, Future
8
How do users’ identities develop within cyber systems over time?
Identity: Physical, Cyber, Future
9
Identity: Physical, Cyber, Future
10
by computing the cross-entropy of one probability distri-
bution with respect to anot...
Identity: Physical, Cyber, Future
11
Out-degree distribution of users:
Greater
dissimilarity
Time in the system
Converge t...
Identity: Physical, Cyber, Future
12
Lexical distribution of users:
● ●
● ●
● ●
●
●
●
●
●
● ● ● ● ●
●
●
●
6.06.57.07.58.08...
Identity: Physical, Cyber, Future
13
What is happening here?!1!
● ●
● ●
● ●
●
●
●
●
●
● ● ● ● ●
●
●
●
6.06.57.07.58.08.5
Lifecycle Stages
DistributionCrossEntropy
0 0.2 0.4 0.6 0.8 1
Ide...
Identity: Physical, Cyber, Future
15
My
Identity
Shared Identity
Abstracted Identity
Cyber Physical
Future = lens blend
• ...
Identity: Physical, Cyber, Future
16
¨  Informing social theory from cyber layer’s
interpretation, and vice versa
¨  Beh...
Identity: Physical, Cyber, Future
17
Questions?
Upcoming SlideShare
Loading in...5
×

Identity: Physical, Cyber, Future

462

Published on

Invited talk at the Dagstuhl seminar on Physical-Cyber-Social Computing. 2nd October 2013.

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

  • Be the first to like this

No Downloads
Views
Total Views
462
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Identity: Physical, Cyber, Future

  1. 1. IDENTITY: PHYSICAL, CYBER, FUTURE MATTHEW ROWE LANCASTER UNIVERSITY, UK WWW.LANCASTER.AC.UK/STAFF/ROWEM @MROWEBOT Dagstuhl Seminar: Physical-Cyber-Social Computing – September/October 2013
  2. 2. Identity: Physical, Cyber, Future 1 So ‘identity’; what do we mean?
  3. 3. Identity: Physical, Cyber, Future 2 So ‘identity’: what do we mean?
  4. 4. Identity: Physical, Cyber, Future 3 My Identity Shared Identity Abstracted Identity Persistent information Never changes More detailed Information More prone to change Groups and demographics Interests and tastes
  5. 5. Identity: Physical, Cyber, Future 4 My Identity Shared Identity Abstracted Identity Physical My ‘real world’ name My parents and siblings Where I live My friends My neighbours My interests & hobbies Society memberships
  6. 6. Identity: Physical, Cyber, Future 5 My Identity Shared Identity Abstracted Identity Cyber My username/handle Where I say I live My connections My stated interests My behaviour
  7. 7. Identity: Physical, Cyber, Future 6 My Identity Shared Identity Abstracted Identity Cyber Intentional (ego) Existential My username/handle Where I say I live My connections My stated interests My behaviour
  8. 8. Identity: Physical, Cyber, Future 7 Development = conflicts Development happens through stages
  9. 9. Identity: Physical, Cyber, Future 8
  10. 10. How do users’ identities develop within cyber systems over time? Identity: Physical, Cyber, Future 9
  11. 11. Identity: Physical, Cyber, Future 10 by computing the cross-entropy of one probability distri- bution with respect to another distribution from an lifecycle period, and then selecting the distribution that minimises cross-entropy. Assuming we have a probability distribution (P) formed from a given lifecycle period ([t, t0 ]), and a probability distribution (Q) from an earlier lifecycle period, then we define the cross-entropy between the distributions as follows: H(P, Q) = X x p(x) log q(x) (5) In the same vein as the earlier entropy analysis, we derived the period cross-entropy for each platform’s users throughout their lifecycles and then derived the mean cross- entropy for the 20 lifecycle periods. Figure 3 presents the cross-entropies derived for the different platforms and user properties. We observe that for each distribution and each platform cross-entropies reduce throughout users’ lifecycles, suggesting that users do not tend to exhibit behaviour that has not been seen previously. For instance, for the in-degree see a consisten forming user set of posts the probabil instance, for frequencies discrete prob (P[t,t0]), and time interval between the As before each platform the mean co Figure 4 pre degree, out-d periods. We entropy of u Identity properties @ time t Identity properties @ time t of the social system (norms) Dissimilarity between the properties
  12. 12. Identity: Physical, Cyber, Future 11 Out-degree distribution of users: Greater dissimilarity Time in the system Converge towards social norms, before transitioning away ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 2.03.04.05.0 Lifecycle Stages DistributionCrossEntropy 0 0.2 0.4 0.6 0.8 1
  13. 13. Identity: Physical, Cyber, Future 12 Lexical distribution of users: ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 6.06.57.07.58.08.5 Lifecycle Stages DistributionCrossEntropy 0 0.2 0.4 0.6 0.8 1
  14. 14. Identity: Physical, Cyber, Future 13 What is happening here?!1!
  15. 15. ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 6.06.57.07.58.08.5 Lifecycle Stages DistributionCrossEntropy 0 0.2 0.4 0.6 0.8 1 Identity: Physical, Cyber, Future 14 Identity achievement: divergence from normsForeclosure: convergence on social norms Changing with Time: Modelling and Detecting User Lifecycle Periods in Online Community Platforms. M Rowe. To appear in the proceedings of the International Conference on Social Informatics. Kyoto, Japan. (2013) Mining User Lifecycles from Online Community Platforms and their Application to Churn Prediction. M Rowe. To appear in the proceedings of the International Conference on Data Mining. Dallas, US. (2013)
  16. 16. Identity: Physical, Cyber, Future 15 My Identity Shared Identity Abstracted Identity Cyber Physical Future = lens blend •  Development being co-dependent between physical and cyber layers •  Transcendent identity (theories, recommendations, development) “All boundaries are conventions, waiting to be transcended”
  17. 17. Identity: Physical, Cyber, Future 16 ¨  Informing social theory from cyber layer’s interpretation, and vice versa ¨  Behaviour diffusion through developmental stages ¨  Pre-empting physical decisions through understanding of the cyber lens ¨  Redefinition of cross-lens social norms
  18. 18. Identity: Physical, Cyber, Future 17 Questions?
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×