Brief Encounter Networks Vassilis Kostakos Oxford University, 16 - - PowerPoint PPT Presentation

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Brief Encounter Networks Vassilis Kostakos Oxford University, 16 - - PowerPoint PPT Presentation

Brief Encounter Networks Vassilis Kostakos Oxford University, 16 October 2007 Motivation Understand the affordances of peoples mobility, and identify opportunities for pervasive systems Overview Data collection


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Brief Encounter Networks

Vassilis Kostakos

Oxford University, 16 October 2007

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Motivation

  • Understand the “affordances” of people’s

mobility, and

  • identify opportunities for pervasive systems
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Overview

  • Data collection
  • Structural properties
  • Dynamic properties
  • Diffusion
  • Ongoing work
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Data collection

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time

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Timeline view

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Gatecount timelines

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Gatecounts

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Bluetooth visibility

  • Around 7.5% of observed pedestrians had discoverable

Bluetooth devices

(R^2 = 0.88)

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Structural properties

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Scanner 4 1 6 3 2 5 1 2 3 4 6 5

time

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Dynamic properties

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Dynamic properties

  • Our data is not static
  • 3D structure
  • Chain of events
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Presence Frequency Nodes Links

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Model

  • Fixed population size n
  • Each node assigned probability f and p
  • At each iteration, node is activated with

probability f

  • If a node is activated, it remains active for p

times length of previous inactivity

  • If two nodes are simultaneously active, they

are linked to each other

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1 1

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Diffusion

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Chain of events

  • John, Mary, 14:20:30
  • John, Paul, 14:20:32
  • Mary,Nick, 14:20:33
  • ...
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Emulation

  • Class “device”
  • Class “virus”
  • During encounter, virus is transmitted
  • Device recovers (SIS) or dies (SIR)
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Remove Brief Encounters Remove Persistent Encounters

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Remove Brief Encounters Remove Persistent Encounters

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Ongoing work

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DTN forwarding algorithm

  • Static features
  • Node degree
  • Node betweenness
  • Node closeness
  • Average geodesic path (Bath = 3.3)
  • Community detection (21 using Newman)
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Considering time

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Game of real life

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Tamagotchi

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facebook People with Bluetooth devices bumping into each other (shopping, school, work) Cityware servers analyse data Cityware Facebook application presents data Cityware nodes record & upload data Users' social network grows

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New challenges

  • Best utilisation of this platform?
  • Create a “world socio-map”?
  • Develop adaptable systems
  • Develop more secure systems
  • Put numbers on human relationships
  • Put numbers on “fabric of everyday life”
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Thank you

Vassilis Kostakos vk @ cs. bath. ac. uk http :// www. cityware. org. uk