1. A method of visual importance indication enhancement for collaborative environments, comprising: analyzing data sources associated with a primary participant to establish a set of attributes for the primary participant; breaking each attribute of the established set of attributes for the primary participant down into at least one single element component; generating at least one 1-Rule component based at least in part on the established set of attributes for the primary participant, each 1-Rule component including one of the single element components and a single corresponding action to be performed; assigning a weight to each of the at least one 1-Rule components; summing the weights of the at least one 1-Rule components together; determining that the sum of the weights of the at least one 1-Rule components is greater than a pre-determined threshold; in response to determining that the sum of the weights of the at least one 1-Rule components is greater than the pre-determined threshold, generating a dynamic rule in accordance with the set of attributes; applying the dynamic rule to an activity stream comprising at least one message to obtain points of commonality between a participant and the primary participant and to determine an importance level of the at least one message, wherein the at least one message comprises a plurality of recipients, wherein applying the dynamic rule to the activity stream includes determining that each recipient in a subset of the plurality of recipients matches an attribute of the dynamic rule; based on the determination that each recipient in the subset matches an attribute of the dynamic rule, extending the dynamic rule to include additional attributes corresponding to each recipient in the plurality of recipients that is not in the subset; determining a frequency of messages of the activity stream that include the plurality of recipients; determining that the frequency is below a pre-determined threshold frequency; in response to determining that the frequency is below the pre-determined threshold frequency, restoring the dynamic rule to its pre-extended state by removing the additional attributes corresponding to each recipient in the plurality of recipients that is not in the subset; and visually indicating the points of commonality and the importance level of the at least one message.