1. Behavior Analysis through Reputation Propagation in a Multi-Context Environment
Ebrahim Bagheri and Ali A. Ghorbani
and
Faculty of Computer Science - University of New Brunswick
1/18/2019

2. Reputation Reputation is a : It can be ascribed to a distributed,
socially ascribed, and
collective belief of the society towards a single identity.
It can be ascribed to a
single person,
group,
role or even
a non-human character.
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3. Reputation Ascription
Reputation owners are affected by the status of their reputation.
But have no control over the accredited reputation.
Affecting reputation ascription through self alignment with social norms.
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4. Reputation Inheritance
Assignment of reputation to a certain group of people, roles or objects
A rough estimation of a typical group member’s reputation.
This helps overcome reputation calculation for the unknown people to the society.
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5. Reputation Inheritance (cntd.)
Inheritance of reputation in a group setting
(Dis)improvement of the status of the members based the group’s reputation
Members affect the group’s reputation based on their social image.
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6. Reputation in Virtual Environments
Interactions in a virtual environment based on reputation values.
Interaction among users based on reputation and trust
reputation is taken for granted since:
it has been communally calculated and ascribed.
Reputation based systems should observe:
Identity Continuity and
Reputation Ubiquity.
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7. Identity Continuity & Reputation Ubiquity
avoiding change of the identity or
the use of pseudonyms
because:
It results in history clearance and
false reputation declaration.
“Reputation ubiquity” allows
universal reputation values
users cannot hide their real identity
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8. Reputation Nuclei R Role Fulfillment Relationship Knowledge Experience
Credential
Competence
Honesty
Favorability
Faith
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9. Reputation Formalization
Creating social norms based on these factors.
Creation of context dependent reputation calculation models
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10. Reputation in a Single Context
Reputation has been mostly formalized in a specific context.
Because of the underlying social values of each society
For example in academia, for a prof. reputation is:
his/her publications,
teaching experience and
credentials;
But in the business community:
industrial experience,
trading knowledge, and
Social relationships are more important than other factors.
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11. Mutual Effect of Different Contexts on Reputation
Reputation is affected by the other contexts
People with high reputation values in a specific context, will be looked upon as successful else where.
The opposite situation is also true.
Mutual effect of different contexts cannot be overlooked.
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12. Reputation in Multiple Context1 2 3 4 R
Role Fulfillment
Relationship
Knowledge
Experience
Credential
Competence
Honesty
Favorability
Faith
Overall Reputation
Reputation in Multiple Context
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13. Reputation Inference
Understanding the position of a person in a new context
People carry their reputation with them into new contexts
This does not determine exactly the ultimate reputation of that person
But it is a good initial estimation
The person can later improve or damage his reputation
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14. Inter-context Reputation Migration
We propose two steps for reputation migration:
Forward update mechanism
Backward reputation adjustment method
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15. Forward Update Mechanism1 2 3 4 C1
Reputation Change
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16. Backward Adjustment Mechanism1 2
Backward Adjustment Mechanism 3 4
NIC=8
NIC=4
NICi is calculated and shows the number of interactions that a person has in
Context i.
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17. Scenarios Four Scenarios: Consistent Homogeneous Reputation
High-Consistent Heterogeneous Reputation
Low-Consistent Heterogeneous Reputation
Varying Heterogeneous Reputation
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18. Observations
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19. Observations
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20. Conclusions Reputation is a context specific socially ascribed value.
A specific reputation formalization cannot be applied to multiple contexts
This prevents reputation inference in multiple contexts.
Here we propose a reputation propagation scheme.
The proposed model provides:
A rough anticipation of users’ behavior in new contexts
Analysis of reputation change in multiple contexts
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21. Thank you for your patience.
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