Title: Classes will begin shortly
1Classes will begin shortly
2Networks, Complexity and Economic Development
3Classes 5-7 APPLICATIONS (Oct 21st, Nov 18 th,
Nov 25 th ) 410pm 530 pm
4 5Community Finding
Clique Percolation Methods
Betweenness, Spectral Partition Methods
6So far
- We studied some basic network models
- Erdos-Renyi Random Graph.
- Watts-Strogatz Small World.
- Barabasi-Albert Scale-Free Networks.
- We also saw how to characterize the structure of
networks by looking at different structural
properties. - Local Properties Centrality Measures,
Clustering, Topological Overlap, Motifs. - Global Properties Diameter, Giant Component,
Degree Correlations.
7We also
- Studied some dynamical consequences of Scale Free
networks - Error-Attack Tolerance
- Vanishing Epidemic Threshold.
8Vanishing Epidemic Threshold
Random Network Epidemic spreads if r gt1
Random Network Epidemic spreads if r gt ltkgt/ltk2gt
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15How predictable is an epidemic?
Pi 1 if is city has an infected individualand 0
otherwise.
Overlap, measure similarity between the Ps
describing different realizationsof the
simulation
16Heterogeneity in weight increases Predictability
as there are some links That carry most of the
traffic. (Effective degree is smaller)
High degree nodes difficult prediction, As there
are many possible paths that spreading cant take.
17High weight High Betweenness
Low weight High Betweenness
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19Complex Contagions and the Weakness of Long Ties
D Centola, M Macy - American Journal of
Sociology, 2007
Simple Contagion Process
20Complex Contagions and the Weakness of Long Ties
D Centola, M Macy - American Journal of
Sociology, 2007
Complex Contagion Process
21Complex Contagions and the Weakness of Long Ties
D Centola, M Macy - American Journal of
Sociology, 2007
Simple Contagion Process
Watts-Strogatz type of Shortcuts increase the
speed of spreading
Complex Contagion Process
Watts-Strogatz type of slow or stop the spreading
process
22Network Dynamics
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24CA Hidalgo C Rodriguez-Sickert Physica A (2008)
25Persistence
Perseverance
26CA Hidalgo C Rodriguez-Sickert Physica A (2008)
27Power-Law Decay
Core-Periphery Structure
T-1/4
CA Hidalgo C Rodriguez-Sickert Physica A (2008)
DL Morgan MB Neal, P Carder. Social Networks
199-25 (1996)
28Degree (k)
Clustering (C)
Reciprocity (R)
CA Hidalgo C Rodriguez-Sickert Physica A (2008)
29Multivariate Analysis (Node Level)
Linear Regression
p 0.0598 C 0.0122 k 0.3626 r 0.0015 Age
0.0009 Gender 0.2506
Correlations and Partial Correlations
30Reality
Test
Prediction Accuracy A/(AB) SensitivityA/(AC)
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34Mobile Phone Network
Co-Authorship Network
lttgtAverage life-span of a community of a given
size
SSize
35Small communities that survive tend to retain its
members
36Large communities that survive Tend to change
their composition More than those they do not
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39Invisible College
No-Invisible College
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42Emails, Columbia
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45Many Eyes