An implementation of a user location inference method.
If you want to know more, please refer to our paper.
$ mysql -u username -p
mysql> create database dbname;
mysql> quit;
Bye
$ mysql -u username -p dbname < tomato/sql/tomato.sql
mysql> show tables;
+-------------------+
| Tables_in_tomato2 |
+-------------------+
| dominance |
| graph |
| users |
+-------------------+
mysql> show fields from dominance;
+------------+------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------+------------+------+-----+---------+-------+
| id | bigint(20) | NO | PRI | 0 | |
| type | int(11) | NO | PRI | 0 | |
| centrality | float | YES | | NULL | |
| variance | float | YES | | NULL | |
| latitude | float | YES | | NULL | |
| longitude | float | YES | | NULL | |
+------------+------------+------+-----+---------+-------+
mysql> show fields from graph;
+--------+------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+--------+------------+------+-----+---------+-------+
| src_id | bigint(20) | NO | PRI | 0 | |
| dst_id | bigint(20) | NO | PRI | 0 | |
+--------+------------+------+-----+---------+-------+
mysql> show fields from users;
+-------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------+--------------+------+-----+---------+-------+
| id | bigint(20) | NO | PRI | 0 | |
| screen_name | varchar(100) | YES | | NULL | |
| latitude | float | YES | | NULL | |
| longitude | float | YES | | NULL | |
+-------------+--------------+------+-----+---------+-------+
db.conf is used by lib/db.py to connect to DB.
$ cat tomato/data/db.conf
hostname
dbusername
dbpassword
dbname
$ python calculate_dominance_distribution.py
Results are inserted into dominance table.
$ python lmm.py [c0] # c0 is a threshold value of the centrality constraint.
Results are printed out to stdout.
{'user_id': 481102014,
'inferred_location': (36.056, 140.026),
'confidence': 0.045,
'actual_location': (36.086, 140.078)
}
If a user's actual location is unknown, actual_location value is None.
confidence indicates how likely the corresponding user's home location is at inferred_location.
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