This document describes a tool called GeoLocation Friends Visualizer that plots social network location data on a map. It was created by Marcel Caraciolo, a Python developer from Recife, Brazil who has been working with Python for 6 years. The tool and its source code are available on GitHub at a provided link.

1. GeoLocation Friends
Visualizer
Plotting your location social network data
Marcel Caraciolo
@marcelcaraciolo
Developer, Cientist, contributor to the Crab recsys project,
works with Python for 6 years, interested at mobile,
education, machine learning and dataaaaa!
Recife, Brazil - http://aimotion.blogspot.com

2. How your friends
are connected ?

3. How your friends
are connected ?
Where are they ?

4. Atépassar snapshot 300k users - March 2013

6. Can I use it ???
Please!

7. Of course!
https://github.com/marcelcaraciolo/Geo-Friendship-Visualization

8. Of course!
if
__name__
==
'__main__':
parser
=
OptionParser(usage=SUPPRESS_USAGE)
print
'geocialMapper
v.%snBy
%sn'
%(__version__,__author__)
print
"Type
-­‐-­‐help
parameter
for
help.n"
parser.add_option('-­‐i','-­‐-­‐input-­‐file',dest='input_file',
help='Pickle
object
file
with
coordinates
and
quantity')
parser.add_option('-­‐s','-­‐-­‐size',dest='size',
help='image
dimmensions
height,width')
parser.add_option('-­‐o',
'-­‐-­‐output-­‐file',
dest='output_file',
default=
'map.jpg',
help='Output
file
for
saving
the
image')
parser.add_option('-­‐c',
'-­‐-­‐colormap',
dest='mode',
default='wb',
help='Mode
of
colormap
used:
wb,
all')
parser.add_option('-­‐p',
'-­‐-­‐connection',
dest='n_connections',
default=0,
type='int',
help=
'Threshold
for
the
number
of
interconnections
between
cities')
(options,args)
=
parser.parse_args()
if
not
options.input_file:
parser.error('You
must
specifiy
a
valid
pickle
object
to
load
data
(-­‐i
parameter)
!')
if
not
options.size:
parser.error('You
must
specifiy
the
dimmensions
of
the
image
(-­‐s
parameter)
!')
run_main(options)

9. Of course!
$
python
geo_mapper.py
-­‐i
data.pk
-­‐s
1600,1600
-­‐o
output_map.jpg
{
((latO,longO),(latD,longD)):
qtd,
...}
#(latO,longO)
are
the
latitude
and
longitude
of
the
origin
location.
Both
are
float
values.
#(latD,longD)
ate
the
latitude
and
longitude
of
the
destiny
location.
Both
are
float
values.
#qtd:
An
integer
that
represents
the
number
of
connections
between
both
coordinates
(cities).

11. Code available!
https://github.com/marcelcaraciolo/Geo-Friendship-Visualization

12. GeoLocation Friends
Visualizer
Plotting your location social network data
Marcel Caraciolo
@marcelcaraciolo
Developer, Cientist, contributor to the Crab recsys project,
works with Python for 6 years, interested at mobile,
education, machine learning and dataaaaa!
Recife, Brazil - http://aimotion.blogspot.com