From: A method of designing a generic actor model for a professional social network
Characteristic features | Sub characteristics | Set | Weights |
---|---|---|---|
1. Personally identifiable information (PerI) | Name (\(per_i^1\)) | {Name of the actors} | 1  for  common  name |
Address (\(per_i^2\)) | {Home address of the actors} | 1  for  common  address | |
IP address (\(per_i^3\)) | {0.0.0.0.0.0 to FF.FF.FF.FF.FF.FF} | 1  for  common  IP  address | |
Telephone number (\(per_i^4\)) | {Telephone numbers of this actors} | 1  for  common telephone  number | |
2. Professional Information (ProI) | Education (\(pro_i^1\)) | {PhD, ME, MS, BE, BS} | \(15 I_{(BS)} + 16 ~I_{(BE)}\) |
\(+ 17 ~I_{(MS)}+ 18 ~I_{(ME)}\) | |||
\(+ 23 ~I_{(PhD)}\) | |||
Occupation (\(pro_i^2\)) | {Administration, Banking, Finance, Businessman} | Exponential  weights | |
\(~(e^{-x})\) | |||
 | Qualification (\(pro_i^3\)) | {Number of years spent n college, equipment handled, courses,conferences} | Gaussian  weights (N(0, 1)) |
 | Role (\(pro_i^4\)) | {Provider,collector,manager, security,farmer} | Ordered  exponential \(weights (e^{x})\) |
3. Activity (Act) | Current (\(act_i^1\)) | {Research activity, course, teaching, session conduction, group seminar, meetings} | Priority weights |
 | Past (\(act_i^2\)) | {joint number of publications, research topics undertaken, conference attended, positions held} | Rank of activity  |
4. History (Hist) | History of actor (\(hist_i\)) | {coordination, interactions, worked on similar project, research similarity, published, papers} | Gaussian  weights (N(0, 1)) |