Discovery and communication of team dynamics

Abstract

Electronic communications of team members of a team are monitored over time. Individual repeating patterns of interactions between team members and associated repeating subject matter topics of the interactions are identified. The identified individual repeating patterns and the associated repeating subject matter topics of the interactions are aggregated into a set of group interaction patterns of the team. Routine availability of a team member for additional interactions is determined in accordance with the set of group interaction patterns of the team.

1 - 7 . (canceled) 
     
     
         8 . A computer-implemented method, comprising:
 iteratively monitoring electronic communications between computing platforms respectively associated with team members of a team to identify:
 usage activities of the computing platforms and usage activity timing of the usage activities, and 
 application content and applications used on the computing platforms; 
   iteratively deriving, based upon the identified usage activities and usage activity timing:
 repeating patterns of interactions between the team members and time periods of the repeating patterns, 
 repeating subject matter topics of communication during the repeating patterns of interactions; and 
   aggregating real time and into a machine-learned set of group interaction time-activity patterns of the team members:
 at least a portion of the derived repeating patterns of interactions, 
 the computing platforms used during the derived repeating patterns of interactions, 
 the time periods of the derived repeating patterns of interactions, 
 the application content and applications used on the computing platform, and 
 the derived repeating subject matter topics of communication; and 
   iteratively adjusting in real-time and providing, as distributed computer-learned output, routine availability of a team member for additional interactions based upon the machine-learned set of group interaction time-activity patterns.   
     
     
         9 . The method of  claim 8 , wherein
 the iteratively monitoring electronic communications includes using natural language processing (NLP) and semantic analysis to evaluate the application content of:
 the applications used during periods of time of one-on-one team member electronic communications and 
 the applications used during periods of time of electronically-conducted team member group interactions. 
   
     
     
         10 . The method of  claim 8 , wherein
 the iteratively monitoring uses activity monitoring agents respectively installed on the computing platforms.   
     
     
         11 . The method of  claim 8 , wherein
 the aggregating includes constructing a computer-navigable team interaction matrix populated with
 the at least a portion of the derived repeating patterns of interactions, 
 the computing platforms used during the derived repeating patterns of interactions, 
 the time periods of the derived repeating patterns of interactions, 
 the application content and applications used on the computing platform, and 
 the derived repeating subject matter topics of communication. 
   
     
     
         12 . The method of  claim 8 , wherein
 a computer-navigable team interaction matrix is rendered in a graphical user interface (GUI) populated with the set of group interaction time-activity patterns.   
     
     
         13 . The method of  claim 8 , wherein
 an identified focus area and an expertise of each of the team members is added to each of the repeating patterns of interactions between the team members.   
     
     
         14 . The method of  claim 8 , wherein
 the iteratively adjusting includes cross-checking information about the team members and relationships between the team members with the derived repeating patterns of interactions with the derived repeating subject matter topics of communication.   
     
     
         15 . A computer hardware system, comprising:
 a hardware processor configured to initiate the following executable operations:
 iteratively monitoring electronic communications between computing platforms respectively associated with team members of a team to identify:
 usage activities of the computing platforms and usage activity timing of the usage activities, and 
 application content and applications used on the computing platforms; 
 
 iteratively deriving, based upon the identified usage activities and usage activity timing:
 repeating patterns of interactions between the team members and time periods of the repeating patterns, 
 repeating subject matter topics of communication during the repeating patterns of interactions; and 
 
 aggregating real time and into a machine-learned set of group interaction time-activity patterns of the team members:
 at least a portion of the derived repeating patterns of interactions, 
 the computing platforms used during the derived repeating patterns of interactions, 
 the time periods of the derived repeating patterns of interactions, 
 the application content and applications used on the computing platform, and 
 the derived repeating subject matter topics of communication; and 
 
 iteratively adjusting in real-time and providing, as distributed computer-learned output, routine availability of a team member for additional interactions based upon the machine-learned set of group interaction time-activity patterns. 
   
     
     
         16 . The system of  claim 15 , wherein
 the iteratively monitoring electronic communications includes using natural language processing (NLP) and semantic analysis to evaluate the application content of:
 the applications used during periods of time of one-on-one team member electronic communications and 
 the applications used during periods of time of electronically-conducted team member group interactions. 
   
     
     
         17 . The system of  claim 15 , wherein
 the iteratively monitoring uses activity monitoring agents respectively installed on the computing platforms.   
     
     
         18 . The system of  claim 15 , wherein
 the aggregating includes constructing a computer-navigable team interaction matrix populated with
 the at least a portion of the derived repeating patterns of interactions, 
 the computing platforms used during the derived repeating patterns of interactions, 
 the time periods of the derived repeating patterns of interactions, 
 the application content and applications used on the computing platform, and 
 the derived repeating subject matter topics of communication. 
   
     
     
         19 . The system of  claim 15 , wherein
 a computer-navigable team interaction matrix is rendered in a graphical user interface (GUI) populated with the set of group interaction time-activity patterns.   
     
     
         20 . The system of  claim 15 , wherein
 an identified focus area and an expertise of each of the team members is added to each of the repeating patterns of interactions between the team members.   
     
     
         21 . The system of  claim 15 , wherein
 the iteratively adjusting includes cross-checking information about the team members and relationships between the team members with the derived repeating patterns of interactions with the derived repeating subject matter topics of communication.   
     
     
         22 . A computer program product, comprising:
 a hardware storage device having stored therein computer readable program code,   the computer readable program code, which when executed by a computer hardware system, causes the computer hardware system to perform:
 iteratively monitoring electronic communications between computing platforms respectively associated with team members of a team to identify:
 usage activities of the computing platforms and usage activity timing of the usage activities, and 
 application content and applications used on the computing platforms; 
 
 iteratively deriving, based upon the identified usage activities and usage activity timing:
 repeating patterns of interactions between the team members and time periods of the repeating patterns, 
 repeating subject matter topics of communication during the repeating patterns of interactions; and 
 
 aggregating real time and into a machine-learned set of group interaction time-activity patterns of the team members:
 at least a portion of the derived repeating patterns of interactions, 
 the computing platforms used during the derived repeating patterns of interactions, 
 the time periods of the derived repeating patterns of interactions, 
 the application content and applications used on the computing platform, and 
 the derived repeating subject matter topics of communication; and 
 
 iteratively adjusting in real-time and providing, as distributed computer-learned output, routine availability of a team member for additional interactions based upon the machine-learned set of group interaction time-activity patterns. 
   
     
     
         23 . The computer program product of  claim 22 , wherein
 the iteratively monitoring electronic communications includes using natural language processing (NLP) and semantic analysis to evaluate the application content of:
 the applications used during periods of time of one-on-one team member electronic communications and 
 the applications used during periods of time of electronically-conducted team member group interactions. 
   
     
     
         24 . The computer program product of  claim 22 , wherein
 the iteratively monitoring uses activity monitoring agents respectively installed on the computing platforms.   
     
     
         25 . The computer program product of  claim 22 , wherein
 the aggregating includes constructing a computer-navigable team interaction matrix populated with
 the at least a portion of the derived repeating patterns of interactions, 
 the computing platforms used during the derived repeating patterns of interactions, 
 the time periods of the derived repeating patterns of interactions, 
 the application content and applications used on the computing platform, and 
 the derived repeating subject matter topics of communication. 
   
     
     
         26 . The computer program product of  claim 22 , wherein
 a computer-navigable team interaction matrix is rendered in a graphical user interface (GUI) populated with the set of group interaction time-activity patterns.   
     
     
         27 . The computer program product of  claim 22 , wherein
 the iteratively adjusting includes cross-checking information about the team members and relationships between the team members with the derived repeating patterns of interactions with the derived repeating subject matter topics of communication.