Populating a task directed community in a complex heterogeneous environment based on non-linear attributes of a paradigmatic cohort member
First Claim
1. A computer implemented method of populating a task directed community, the computer implemented method comprising:
- a processor identifying non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda;
the processor identifying common non-linear attributes that are shared by multiple members of the first cohort;
the processor defining a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort;
the processor mapping the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same;
the processor identifying a second agenda of a second cohort;
the processor comparing the second agenda to the first agenda;
the processor executing a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula;
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Abstract
A computer implemented method, system, and/or computer program product defines a paradigmatic member of a first task directed community. Non-linear attributes of each member of the first task directed community having a first agenda are identified. Each of the non-linear attributes is individually unrelated to the first agenda. Common non-linear attributes shared by multiple members of the first task directed community are identified for use in defining the paradigmatic member of the first task directed community. A second task directed community, which has an agenda that substantially matches the first agenda of the first task directed community, is then presented with candidate members that match the paradigmatic member of the first task directed community.
166 Citations
19 Claims
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1. A computer implemented method of populating a task directed community, the computer implemented method comprising:
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a processor identifying non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda; the processor identifying common non-linear attributes that are shared by multiple members of the first cohort; the processor defining a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort; the processor mapping the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same; the processor identifying a second agenda of a second cohort; the processor comparing the second agenda to the first agenda; the processor executing a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product for defining a paradigmatic member of a task directed community, the computer program product comprising:
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a computer readable storage medium; first program instructions executable by a processor to cause the processor to identify non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda; second program instructions executable by the processor to cause the processor to identify common non-linear attributes that are shared by multiple members of the first cohort; third program instructions executable by the processor to cause the processor to define a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort; fourth program instructions executable by the processor to cause the processor to map the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same; fifth program instructions executable by the processor to cause the processor to identify a second agenda of a second cohort; sixth program instructions executable by the processor to cause the processor to compare the second agenda to the first agenda; seventh program instructions to execute a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula; - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A computer system comprising:
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a central processing unit (CPU), a computer readable memory, and a computer readable storage media; first program instructions to identify non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda; second program instructions to identify common non-linear attributes that are shared by multiple members of the first cohort; third program instructions to define a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort; fourth program instructions to map the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same; fifth program instructions to identify a second agenda of a second cohort; sixth program instructions to compare the second agenda to the first agenda; seventh program instructions to execute a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula; - View Dependent Claims (18, 19)
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Specification