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Table 2 Description of the 38 users

From: Identifying and predicting social lifestyles in people’s trajectories by neural networks

User Gender Age Profession Status
1 Female 24 A student Single
2 Male 23 A soldier Single
3 Female 24 A student Single
4 Male 24 A student Single
5 Male 25 A student In relationship
6 Male 35 A Ph.D candidate Married + 3
7 Male 38 A Ph.D candidate Married + 1
8 Female 32 An M.Sc. student Married + 1
9 Female 27 An M.Sc. student Single
10 Male 23 A student Single
11 Female 27 A teacher Married + 1
12 Male 40 A Ph.D candidate Married + 1
13 Male 25 A student Single
14 Female 60 A pensioner Married + 2
15 Female 24 A student Single
16 Male 32 A Ph.d Single
17 Female 40 A teacher Single + 2
18 Female 31 A translator Married
19 Male 25 A student Single
20 Male 26 A student Single
21 Male 40 A freelancer Married + 2
22 Male 35 An engineer Married + 1
23 Female 44 A manager Married + 3
24 Male 32 An engineer Married + 1
25 Female 24 A student Single
26 Male 27 An M.Sc. student Single
27 Female 24 A student Single
28 Female 30 An engineer In relationship
29 Male 28 A freelancer Engaged
30 Female 48 An assistant professor Married + 3
31 Female 33 A medical doctor Married + 1
32 Male 25 A student Single
33 Male 26 A student Single
34 Male 30 An M.Sc. student In relationship
35 Male 26 A student Single
36 Male 26 A student Single
37 Male 26 A student Single
38 Male 66 A engineer Married + 2