Commit 240439c7 authored by Michael Lees's avatar Michael Lees
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Finished draft of 3rd exercise on robustness, cleaned up exercise 2.

parent f8eaf838
%% Cell type:markdown id: tags:
 
# Analysing Real Networks using NetworkX
---
#### NOTE: this assumes python 2.7x if you have python 3 installed, please see: https://docs.python.org/3/howto/pyporting.html
 
#### If you haven't done so you will need to install all the required python libraries, If you are unfamiliar with pip, Annaconda is an easy way to do this: http://docs.continuum.io/anaconda/install
---
 
 
In this class we will look at how to download real network datasets and load them into NetworkX. These networks can also be visualised in Gephi, assuming they are coorectly formatted. The purpose of this is to enable you to use and analyse real network data using software, which will be crucial during the group projects.
 
## Online Data Resources
 
There are a number of online resources which provide existing datasets that you can play with. Here we list a few, they will offer different networks, of different size and different format (see [formats]). Some will be easier to load in NetworkX/Gephi, but you are free to try any yourself.
 
- The Koblenz Network Collection (http://konect.uni-koblenz.de/networks)
- Gephi’s database (http://wiki.gephi.org/index.php/Datasets)
- Mark Newman’s collection (http://www-personal.umich.edu/~mejn/netdata/)
- Baraba ́si Lab (http://www3.nd.edu/~networks/resources.htm)
- LucianoCosta’sGroup(http://cyvision.ifsc.usp.br/Cyvision/?page=NETWORKS&subpage=Databases)
- Open Flights (http://openflights.org/data.html)
- Tore Opsahl's collection (http://toreopsahl.com/datasets)
- Google (http://www.google.com)
 
## Network Data Formats
<a name="formats"></a>
There are a number of established netowrk file formats that you may used for existing datasets. In the most basic form, all file formats must include: a. A list of nodes (perhaps with associated attributes) b. A list of edges (perhaps with associated attributes). Different file formats will store this in different, and some provide features that others dont. Here we ask you to look at a few file formats:
 
- GraphML (https://www.wikiwand.com/en/GraphML)
- GML (https://www.wikiwand.com/en/Graph_Modelling_Language)
- Gephi (http://gexf.net/format/)
- GDF (http://gephi.github.io/users/supported-graph-formats/gdf-format/)
- Edgelist or CSV (http://networkx.lanl.gov/reference/readwrite.edgelist.html)
 
By all means study these formats, but as long as you can read a format in NetworkX and/or Gephi that is all that is important. Be aware that sometimes special characters in the date (e.g., quotation, brackets, etc.) can cause Gephi/NetworkX to have problems loading.
 
 
## Download the Airline Network
 
We will now download an edgelist representation of the world-wide airline traffic. Go to http://openflights.org/data.html and read about the dataset. We have already processed the "airports.dat" and "routes.dat" to create an edge list, where nodes are airports and edges exist between nodes if any airline conducts a flight between the two airports. You should now download the edgelist from http://tinyurl.com/n9ohgxg
 
The edgelist fomrat is simply a Comma Seperated Value file (CSV) where each line represent an edge and the first two entries on a line represent the node IDs. In this case the node IDs are the IATA airport codes, so for example the first entry (not including the header line) indicates a flight from Goroka, Papua New Guinea (GKA) to Port Moresby, Papua New Guinea (POM), which is operated by Air Niugini.
 
## Load the Airilne Network in NetworkX
 
Now we will try to load the network into NetworkX. First we import the necessary python libraries.
 
%% Cell type:code id: tags:
 
``` python
import csv #import the Python CSV library
import networkx as nx #import NetworkX
import numpy as np #import numpy for ...
import community #import community (https://pypi.python.org/pypi/python-louvain/0.3)
import powerlaw #import powerlaw library for testing fits
#force drawing of graphs inline for ipython notebook
%matplotlib inline
import matplotlib.pyplot as plt #import matplotlib for plotting/drawing grpahs
```
 
%% Cell type:markdown id: tags:
 
Next we use the Python open command and the built-in read_edgelist NetworkX command to create our Graph G. In the below code, we open the csv file edgelist.csv as 'rb' which means read (not write) in binary (not plain text).
 
The parameters of the read_edgelist method can be found in the NetworkX manual here: https://networkx.github.io/documentation/latest/
 
Goto the webpage and search in the search box for the command read_edgelist, you should end up at: https://networkx.github.io/documentation/latest/reference/generated/networkx.readwrite.edgelist.read_edgelist.html?highlight=read_edgelist
 
- The first parameter is the file (which we call file_handle)
- The second parameter is a delimiter, which specifies the marker between records, in this case a comma
- The third parameter specifies the types of network to construct, we use a directed graph here (obviously)
- The fourth parameter specifies the type of node, which for us is a string, which is the IATA code e.g., GKA
- The final paraetmer specifies the encoding used by the file (e.g., UTF-8, ASCII, etc.)
 
Please spend sometime now becoming familiar with the NetworkX documentation, you should be able to search for help yourself from here on in.
 
%% Cell type:code id: tags:
 
``` python
with open('edgelist.csv', 'rb') as file_handle:
next(file_handle, '') # skip the header line (NOTE the first list in the CSV file doesn't contain an edge)
G = nx.read_edgelist(file_handle, delimiter=',', create_using=nx.DiGraph(),
nodetype=str, data=(('weight', float),), encoding="utf-8")
```
 
%% Cell type:markdown id: tags:
 
## Printing Network Statistics
 
Now we have the graph loaded into NetworkX we can obtain some simple statistics about the Network. For example the number of nodes (N), edges (L) and average degree <k>.
 
Recall that for a directed network the average degree is simply $<k>= \frac{L}{N} $
 
%% Cell type:code id: tags:
 
``` python
N = G.order() #G.order(), gives number of nodes
L = G.size() #G.size(), gives number of edges
 
avg_deg = float(L) / N #calculate average degree
 
#print out statistics
print "Nodes: ", N
print "Edges: ", L
print "Average degree: ", avg_deg
```
 
%%%% Output: stream
 
Nodes: 3286
Edges: 39429
Average degree: 11.9990870359
 
%% Cell type:markdown id: tags:
 
## In-degree and Out-degree
 
We can now measure the distribution of airports in terms of how many in-coming and out-going flights they have. This is known as the node in-degree and out-degree (respectively). NetworkX provides a simple way to get the in and out degree of all nodes. This data is given in the form of a python dictionary where the key is the node and the value is the in/out degree. Use the NetworkX manual again to search for these methods https://networkx.github.io/documentation/latest/
 
%% Cell type:code id: tags:
 
``` python
in_degrees = G.in_degree() # dictionary node:degree
out_degrees = G.out_degree()
 
print "JFK routes in %d" % in_degrees['"JFK"'] #Number routes arriving at JFK international
print "JFK routes out %d" % out_degrees['"JFK"'] #Number routes departing from JFK international
 
print "Heathrow routes in %d" % in_degrees['"LHR"'] #routes in London heathrow
print "Heathrow routes out %d" % out_degrees['"LHR"'] #routes out London heathrow
 
print "Singapore routes in %d" % in_degrees['"SIN"'] #routes in of Changi, Singapore
print "Singapore routes out %d" % out_degrees['"SIN"'] #routes out Changi, Singapore
 
print "Schipol routes in %d" % in_degrees['"AMS"'] #routes in of Schipol, Amsterdam
print "Schipol routes out %d" % out_degrees['"AMS"'] #routes out Schipol, Amsterdam
```
 
%%%% Output: stream
 
JFK routes in 170
JFK routes out 172
Heathrow routes in 165
Heathrow routes out 165
Singapore routes in 122
Singapore routes out 122
Schipol routes in 239
Schipol routes out 246
 
%% Cell type:markdown id: tags:
 
## Plotting In-degree and Out-degree
 
So it seems schipol has the most unique routes, also that in-degree and out-degree are correlated! Note this data is from 2012.
 
Now it would be nice to be able to show the distribution of in-degree and out-degree for all airports, e.g., how many airports have an out-degree of 122, how many have and in-degree of 65. A histogram plot is the bestway to do this.
 
In order to do this we make a set of unqiue in/out degrees, then for each unique in/out degree we count the number of airports. We will also sort the degrees in increasing order to make our plot more readable. This is basically our degree distribution plot of the airline network.
 
We also try to fit a powerlaw using the very helpful python package *powerlaw* (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085777)
 
%% Cell type:code id: tags:
 
``` python
# Set figure width to 30in and height to 20in
import collections
 
fig_size= [18,13]
 
#plt.rcParams["figure.figsize"] = fig_size
plt.rcParams.update({'font.size': 32, "figure.figsize": fig_size})
 
 
#Histogram of in-degrees, Plot and save to png
plt.hist(in_degrees.values(), bins=300, normed=False)
plt.title('In degree distribution')
plt.savefig('in-degree.png')
plt.show()
 
#Plot log-log of in-degree distribution
plt.yscale('log') #set y scale to be log
plt.xscale('log') #set x scale to be log
#create a dictionary where key is degree and value is the number of times that degree is found
#See the python collections Counter for more information
in_degree_counts = dict(collections.Counter(in_degrees.values()))
#Create scatter plot with degree on x-axis and counts on y-axis (red colour, x marker and size 150)
plt.scatter(in_degree_counts.keys(), in_degree_counts.values(), c='r', marker='x', s=150)
plt.xlim((.9, 1e3)) #set x axis limits
plt.ylim((0, 1e3)) #set y axis limits
plt.xlabel('degree')
plt.ylabel('Frequency')
plt.title('In-degree distribution')
plt.show()
 
#Fit a powerlaw to data see paper above for more details
import powerlaw
fit = powerlaw.Fit(in_degrees.values())
R, p = fit.distribution_compare('power_law', 'exponential', normalized_ratio=True)
print R, p
print fit.power_law.alpha
print fit.power_law.xmin
 
 
#Histogram of out-degrees, plot and save to png
plt.hist(out_degrees.values(), bins=300, normed=False)
plt.title('Out degree distribution')
plt.savefig('out-degree.png')
plt.show()
 
 
#Plot log-log of in-degree distribution
plt.yscale('log') #set y scale to be log
plt.xscale('log') #set x scale to be log
#create a dictionary where key is degree and value is the number of times that degree is found
#See the python collections Counter for more information
out_degree_counts = dict(collections.Counter(out_degrees.values()))
#Create scatter plot with degree on x-axis and counts on y-axis (green colour, o marker and size 150)
plt.scatter(out_degree_counts.keys(), out_degree_counts.values(), c='g', marker='o', s=150)
plt.xlim((.9, 1e3)) #set x axis limits
plt.ylim((0, 1e3)) #set y axis limits
plt.xlabel('degree')
plt.ylabel('Frequency')
plt.title('Out-degree distribution')
plt.show()
```
 
%%%% Output: display_data
 
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)
 
%%%% Output: display_data
 
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)
 
%%%% Output: stream
 
20.9850493411 8.98297870699e-98
1.83725988962
2.0
 
%%%% Output: stream
 
Values less than or equal to 0 in data. Throwing out 0 or negative values
Calculating best minimal value for power law fit
/usr/local/lib/python2.7/site-packages/powerlaw.py:691: RuntimeWarning: invalid value encountered in divide
(Theoretical_CDF * (1 - Theoretical_CDF))
 
%%%% Output: display_data
 
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)
 
%%%% Output: stream
 
/usr/local/lib/python2.7/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
if self._edgecolors == str('face'):
 
%%%% Output: display_data
 
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)
 
%% Cell type:markdown id: tags:
 
## Path Lengths in the Airline Network
 
Now we can ask a question regarding the maximum number of flights (routes) needed to reach any airport from any other airport. This should indicate the longest number of legs required to reach any place in the World! We can also calculate the average path length, which indicates the average number of legs required to travel between different cities in the world.
 
Recall that the network diameter is the longest shortest path between any two nodes in the network, and also that average path length of graph G: $$l_G = \frac{\sum_{i \neq j} d(n_i, n_j)}{N(N-1)}$$ where $d(n_i, n_j)$ is the shortest path between nodes $n_i$ and $n_j$
 
%% Cell type:code id: tags:
 
``` python
#Note some of these things can be calculated more easily in NetworkX
 
if not 'avg_path_length' in globals(): #only calculate this if its not been calculated before
max_path_length = 0
total = 0.0
for n in G: #iterate over all nodes
path_length=nx.single_source_shortest_path_length(G, n) # generate shortest paths from node n to all others
total += sum(path_length.values()) #total of all shortest paths from n
 
if max(path_length.values()) > max_path_length: #keep track of longest shortest path we see.
max_path_length = max(path_length.values())
avg_path_length = total / (N*(N - 1)) #calculate average.
 
print "Average path length %f" % avg_path_length #print average path
print "Network Diameter %d" % max_path_length #print diameter
```
 
%%%% Output: stream
 
Average path length 3.976841
Network Diameter 13
 
%% Cell type:markdown id: tags:
 
## Clustering and Centrality
 
Now we can calculate some other statistics about the network, namely:
 
- Clustering coeffecient
- Betweenness centrality - whcih airport lies on most routes
- Closeness centrality - which airport is the shortest number of hops to all other airpots
- Eigenvector centrality - which airpot is connected to other important networks
 
Note: the following calculations may take some time.
 
%% Cell type:code id: tags:
 
``` python
if not 'bet_cen' in globals(): #only calculate this if its not been calculated before
bet_cen = nx.betweenness_centrality(G)
clo_cen = nx.closeness_centrality(G)
eig_cen = nx.eigenvector_centrality(G)
#Histogram of in-degrees
 
print np.mean(bet_cen.values())
print max(bet_cen.values())
 
#plt.bar(center, hist)
plt.rcParams.update({'font.size': 32})
 
plt.hist(bet_cen.values(), bins=200, normed=False) #Try varying the bins, also look at the hist manual
plt.xlabel('Betweenness Centrality')
plt.ylabel('Frequency')
plt.title('Betweenness Centrality Distribution')
plt.show()
plt.hist(clo_cen.values(), bins=200, normed=False) #Try varying the bins, also look at the hist manual
plt.xlabel('Closeness Centrality')
plt.ylabel('Frequency')
plt.title('Closeness Centrality Distribution')
plt.show()
plt.hist(eig_cen.values(), bins=200, normed=False) #Try varying the bins, also look at the hist manual
plt.xlabel('Eigenvector Centrality')
plt.ylabel('Frequency')
plt.title('Eigenvector Centrality Distribution')
plt.show()
```
 
%%%% Output: stream
 
0.000910072287603
0.0759335065248
 
%%%% Output: display_data
 
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)
 
%%%% Output: display_data
 
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)
 
%%%% Output: display_data
 
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)
 
%% Cell type:markdown id: tags:
 
## Visualise the Network
 
Now we use some of NetworkX's built in layout algorithms to try and visualise the Network. We do this in two ways, first we visualise (as small circles) all the nodes (with spring_layout) and edges. Then we make a subset of nodes, in particular those that have an out degree greater than 180, and visualise those with larger circles and print their labels. You can play around with this and read the documentation to try and achieve a better (and more informative) layourt.
 
#### NOTE: you can ignore any warnings here
 
%% Cell type:code id: tags:
 
``` python
# create the layout
pos = nx.spring_layout(G)
 
# If you have graphviz installed you can try the following.
#pos=nx.graphviz_layout(G,prog='neato')
 
 
# draw the nodes and the edges (all)
nx.draw_networkx_nodes(G,pos,node_color='b',alpha=0.2,node_size=16)
nx.draw_networkx_edges(G,pos,alpha=0.005)
 
nodes_to_keep = [n for n in out_degrees if out_degrees[n] > 180]
G_s = G.subgraph(nodes_to_keep)
 
# draw the most important nodes with a different style
nx.draw_networkx_nodes(G_s,pos,node_color='r',alpha=0.4,node_size=450)
# also the labels this time
nx.draw_networkx_labels(G_s,pos,font_size=20,font_color='b')
```
 
%%%% Output: stream
 
/usr/local/lib/python2.7/site-packages/matplotlib/collections.py:650: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
if self._edgecolors_original != str('face'):
 
%%%% Output: execute_result
 
{'"AMS"': <matplotlib.text.Text at 0x1161bcb50>,
'"ATL"': <matplotlib.text.Text at 0x116a08990>,
'"BCN"': <matplotlib.text.Text at 0x11902d690>,
'"CDG"': <matplotlib.text.Text at 0x116362c90>,
'"DEN"': <matplotlib.text.Text at 0x119022b10>,
'"DFW"': <matplotlib.text.Text at 0x11902d250>,
'"DME"': <matplotlib.text.Text at 0x116a08dd0>,
'"DXB"': <matplotlib.text.Text at 0x116362410>,
'"FCO"': <matplotlib.text.Text at 0x1161bc710>,
'"FRA"': <matplotlib.text.Text at 0x116a08150>,
'"IST"': <matplotlib.text.Text at 0x11902dad0>,
'"LGW"': <matplotlib.text.Text at 0x1161bc2d0>,
'"MUC"': <matplotlib.text.Text at 0x1161bcf90>,
'"ORD"': <matplotlib.text.Text at 0x116a08550>,
'"PEK"': <matplotlib.text.Text at 0x116362850>}
 
%%%% Output: display_data
 
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