1. Wireless Epidemic
The wireless epidemic (Nature 449, ; 2007) by Jon Kleinberg
‘Digital traffic flows not only over the wired backbone of the Internet, but also in small leaps through physical space as people pass one another on the street’
New Communication Paradigm  Opportunistic Networks
Haggle EU FP6: New communication paradigm using dynamic interconnectedness
SOCIALNETS EU FP7: Social Networking for Pervasive Adaptation

2. Pocket Switched Networks
Topology changes every time unit
Node 35 is a hub
Human-to-Human
Use of dynamic human connectivity
Human contact in proximity communication range...in a crowd and/or urban space
Two snapshots showing ...change of interactions among people’ daily life
There are hub nodes..
If you want to get a map where you are you ask the network to get it.
Proximity nodes hold sufficient information: each device may keep part of map.
In collaborative way, the requesting node can obtain the map.
This could be done via the infrastructured communication…but not necessary.
When you need a suggestion on a critical matter, you ask certain people…ask the audience many times gives the best answer.

3. Inter Contact Time of Pair Nodes
Power law distribution (+ exponential decay)
cutoff
Time
We have worked on the characteristics of Inter-contact time.
Let’s say read and blue nodes are interacting.
The green arrow indicates inter-contact time, while black arrow indicates contact time.
This is an important attribute for designing forwarding algorithms in opportunistic networks. The power law distribution of inter-contact time indicates, the feasibility of opportunistic forwarding protocol based on such short interval of meetings among most of nodes. 3

4. Social-Based Forwarding
RANK: Centrality based: Global and Local ranking of popularity
LABEL: Community based
BUBBLE RAP: Combination of centrality and community
Use of social hubs (e.g. celebrities and postman) as betweenness centrality and combining community structure for improved forwarding efficiency
Metrics and Forwarding:
Can flood, or multiple copies along multiple paths, blindly.
Or can forward on only one or few paths based on community.
Metrics for preferred forwarding neighbours can be clique based on distributed detection, or on explicit label

5. Data Driven Complex Network Research
Large scale
abstract models
Capture large scale human contact traces
Scale Free
Networks
Human Contact
Networks
Physics Mathematics Sociology
Communication
Computer
Data Driven
Modelling
Small World
Networks
Small scale empirical work
Robust Epidemic
Routing
Epidemiology
To summarise
Computer communications and systems research is my expertises...
Physicists and mathematicians have done large scale abstract models of networks in depth but rarely related them to real data across a wide set of scales
Epidemiology have done small scale empirical work on human networks
It is important to integrate all these approaches from different disciplines to make a real progress
The proposed research takes a multidisciplinary approach, that where I can make a critical contribution
I am confident that I can deliver this ambitious goal...
SIR Model
Analogue to
Epidemiology
Infectious
Disease 5