Analyzing the Online Behavior of a User and for Generating an Alert Based on Behavioral Deviations of the User

• US 20170126821A1
• Filed: 11/02/2015
• Published: 05/04/2017
• Est. Priority Date: 11/02/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bostick, James E., Ganci, JR., John M., Keen, Martin G., Rakshit, Sarbajit K.
• Application Number:
  US14/929,824
• Publication Number:
  US 20170126821A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G08B 21/0423 detecting deviation from an expected pattern of behaviour or schedule
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method in accordance with an embodiment includes: receiving data from at least one social media account of a user; generating a baseline personality profile of the user based on the received data, wherein the baseline personality profile establishes threshold values for a set of behavioral attributes of the user; iteratively generating a set of personality profiles of the user based on subsequently received data from the at least one social media account; comparing each personality profile of the user to the baseline personality profile of the user; determining a deviation between the personality profile of the user and the baseline personality profile of the user based on the comparing; and alerting a monitoring user of the deviation.

Claims

1. A method, comprising:

receiving data from at least one social media account of a user;

generating a baseline personality profile of the user based on the received data, wherein the baseline personality profile establishes threshold values for a set of behavioral attributes of the user;

iteratively generating a set of personality profiles of the user based on subsequently received data from the at least one social media account;

comparing each personality profile of the user to the baseline personality profile of the user;

determining a deviation between the personality profile of the user and the baseline personality profile of the user based on the comparing; and

alerting a monitoring user of the deviation.

2. The method of claim 1, further comprising identifying at least one associate of the user on the at least one social media account.

3. The method of claim 2, further comprising:

obtaining data for each identified associate from the at least one social media account; and

generating a reference personality profile for each associate based on the obtained data.

4. The method of claim 3, further comprising determining interactions and frequency of interactions between each associate and the user on the at least one social media account.

5. The method of claim 3, further comprising comparing the reference personality profile of each associate to the baseline personality profile of the user to identify a source of the deviation.

6. The method of claim 5, further comprising notifying the monitoring user of the identified source of the deviation.

7. The method of claim 1, further comprising:

capturing at least one of audio data and video data of the user;

identifying deviations in behavior of the user based on the captured data; and

alerting the monitoring user of the identified deviation in behavior of the user.

8. An online monitoring system, comprising:

a psycholinguistic profiling system for;

receiving data from at least one social media account of a user;

generating a baseline personality profile of the user based on the received data, wherein the baseline personality profile establishes threshold values for a set of behavioral attributes of the user; and

iteratively generating a set of personality profiles of the user based on subsequently received data from the at least one social media account;

a system for comparing each personality profile of the user to the baseline personality profile of the user;

a system for determining a deviation between the personality profile of the user and the baseline personality profile of the user based on the comparing; and

a system for alerting a monitoring user of the deviation.

9. The online monitoring system of claim 8, wherein the psycholinguistic profiling system identifies at least one associate of the user on the at least one social media account.

10. The online monitoring system of claim 9, wherein the psycholinguistic profiling system:

obtains data for the at least one associate from the at least one social media account; and

generates a reference personality profile for each associate based on the obtained data.

11. The online monitoring system of claim 10, wherein the system for comparing compares the reference personality profile of each associate to the baseline personality profile of the user to identify a source of the deviation.

12. The online monitoring system of claim 11, and wherein the system for alerting notifies the monitoring user of the identified source of the deviation.

13. The online monitoring system of claim 8, further comprising a system for capturing audio data and/or video data of the user, wherein the system for comparing identifies deviations in behavior of the user based on the captured data, and wherein the system for alerting alerts the monitoring user of the identified deviation in behavior of the user.

14. A computer program product comprising program code embodied in at least one computer-readable storage medium, which when executed, enables a computer system to implement a method, the method comprising:

receiving data from at least one social media account of a user;

generating a baseline personality profile of the user based on the received data, wherein the baseline personality profile establishes threshold values for a set of behavioral attributes of the user;

iteratively generating a set of personality profiles of the user based on subsequently received data from the at least one social media account;

comparing each personality profile of the user to the baseline personality profile of the user;

determining a deviation between the personality profile of the user and the baseline personality profile of the user based on the comparing; and

alerting a monitoring user of the deviation.

15. The computer program product of claim 14, the method further comprising identifying at least one associate of the user on the at least one social media account.

16. The computer program product of claim 15, the method further comprising:

obtaining data for each identified associate from the at least one social media account; and

generating a reference personality profile for each associate based on the obtained data.

17. The computer program product of claim 16, the method further comprising determining interactions and frequency of interactions between each associate and the user on the at least one social media account.

18. The computer program product of claim 16, the method further comprising comparing the reference personality profile of each associate to the baseline personality profile of the user to identify a source of the deviation.

19. The computer program product of claim 18, the method further comprising notifying the monitoring user of the identified source of the deviation.

20. The computer program product of claim 14, the method further comprising:

capturing audio data and/or video data of the user;

identifying deviations in behavior of the user based on the captured data; and

alerting the monitoring user of the identified deviation in behavior of the user.