Your Friends Have More Friends Than You Do: Identifying Influential Mobile Users Through Random...
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Transcript of Your Friends Have More Friends Than You Do: Identifying Influential Mobile Users Through Random...
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Your Friends Have More Friends Than You Do: Identifying Influential Mobile Users Through
Random Walks
Bo Han, Aravind SrinivasanUniversity of Maryland
MobiHoc ‘12
Presented by YongJoon Chung
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Contents
Introduction iWanderControlling Infectious DiseasesFacilitating Information DisseminationConclusion
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Introduction
Identifying influential users in mobile social net-works.
Previous methods uses centralized algorithms on ei-ther friendship or social-contact graphs of all users
High computational complexity
Proposes iWander, a lightweight and distributed pro-tocol
Extremely low message overhead
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iWander - Intuition
If a small group of smartphones initialize ran-dom walks periodicaaly, influential mobile users may be visited by these random walks more frequently than average.
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iWander - Protocol
Every ΔT hours, iWander generates probing message with a given probability q on each smartphone.
Message only contains a pre-configured time-to-live (TTL) filed L. When a smartphone receives a probing message,
it decreases L by 1, stores it in its local queue, and passes the queued message when different peer is in contact. When L is 0, iWander discards the message.
iWander maintains a random-walk counter The higher the counter gets, the more influential the user is.
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iWander - Protocol
1. Every ΔT hours, senses nearby device2. With probability q, send length T random-walk message
T = 2
• Random walk count +1
• Queue• T = 1
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Controlling Infectious Diseases
iWander can be used to control infectious dis-eases and perform early outbreak detection.
Vaccinating people with high random-walk counters first can help to contain spread of flu.
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Controlling Infectious Diseases
Simulation setup C based simulator on the SIR model for spread of infectious
diseases simulation. Used Dartmouth dataset for individual social contact simula-
tion. Dartmouth dataset – records of association and disassociation events
at WiFi access points
Comparison with random immunization.
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Controlling Infectious Diseases
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Controlling Infectious Diseases
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Facilitating Information Dissemination
iWander can be used for target-set selection of information dissemination
Can be used for opportunistic communications and social participation to facilitate information dissem-ination
Use iWander to select target users without requir-ing global network structure
Top k random-walk counters will receive data from server and disseminate to other users.
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Facilitating Information Dissemination
Simulation setup C based simulator with the same Dartmouth data
set for performance evaluation of random-walk based target-set selection
Compare the performance with random selection. Also compare with hybrid method which uses 10%
from 1-set random walks and 90% from low central-ity.
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Facilitating Information Dissemination
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Facilitating Information Dissemination
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Conclusion
The paper proposed a light weight and dis-tributed protocol for identifying influential mobile users who have high centrality in their social-contact networks.
iWander was evaluated for two applications and outperformed the random approach.
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Thank you!