Abstract: A system for user association attribution may include one or more processors and memory. The one or more processors may receive information pertaining to relationship events that each correspond to a participant and one of several entities in a social network, allocate, for each relationship event, attribution values to touchpoints accessed by the corresponding entity prior to the relationship event. The processors may further determine a weight for each of the attribution values allocated to each of the touchpoints, where the weight for each of the attribution values is based at least in part on each of the relationship events for which each of the attribution values was allocated, generate an aggregate attribution value for each of the touchpoints based at least in part on the weighted attribution values allocated to each of the touchpoints, and provide, to the participant, each aggregate attribution value generated for each of the touchpoints.

Abstract: A system for metric obfuscation may include one or more processors and memory. The one or more processors may receive a dataset comprising a plurality of metrics that relate to user demographic information and may generate a seed based at least in part on the dataset. The one or more processors may initialize a pseudorandom number generator with the seed and may generate a plurality of pseudorandom numbers using the pseudo-random number generator. The one or more processors may generate a plurality of obfuscated metrics corresponding to the plurality of metrics, wherein each of the plurality of obfuscated metrics is generated at least in part based on a corresponding metric of the plurality of metrics and a corresponding pseudorandom number of the plurality of pseudorandom numbers. The one or more processors may provide the plurality of obfuscated metrics.