GeoMapper, Python Script for Visualizing Data on Social Networks with Geo-location data
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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.
GeoMapper, Python Script for Visualizing Data on Social Networks with Geo-location data
- 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!
- 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).
- 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