(Downloads - 0)
For more info about our services contact : help@bestpfe.com
Table of contents
1 Introduction
1.1 Why networks?
1.2 What are networks?
1.3 How to classify networks?
1.4 Dynamic processes on networks
1.4.1 Epidemic spreading
1.4.2 Simulation
1.5 Network topology’s influence on epidemic processes
1.6 Overview
2 Data collection
2.1 SocioPatterns
2.2 The datasets
2.2.1 Activity
2.2.2 Degree vs. Strength
2.2.3 Contact-dynamics distributions
2.3 Limitations of data
2.4 A short note about cleaning
2.5 Incomplete samples
2.6 Discrete timesteps
3 Epidemic simulation on temporal network data
3.1 Activity fluctuations
3.2 Influence of starting time
3.3 Effect of nights
3.4 Finite time
3.5 Model networks
3.6 Conclusion
4 Data representation
4.1 Time resolution
4.2 Structural resolution
4.2.1 Choice of groups
4.2.2 Heterogeneity of weights
4.2.3 Daily networks
4.2.4 Influence of roles
4.2.5 R0-correction
4.3 Conclusion
5 Immunization on dynamic networks and data representations
5.1 Influence of the data representations
5.2 Immunization strategies on static data representations
5.3 Effect of a limited time window
5.4 Time dependence of ranking efficiency
5.5 Immunization strategies on dynamic networks: significance
5.6 Conclusion
6 Predictability
6.1 Degree ranking
6.2 Data-based predictions of epidemic spread
6.2.1 Comparing datasets
6.2.2 Effect of data variability on epidemic predictions
6.3 Conclusion
7 Distances
7.1 Static distance vs. dynamic distance
7.2 Temporal path lengths and infection-path lengths
7.2.1 Discrete vs continuous
7.2.2 Influence of link density
7.2.3 Influence of the weight distribution
7.3 Distance on face-to-face contact networks
7.4 Conclusion
8 Conclusions
