Network liquidity to engagement mapping

A system comprising:

• one or more hardware processors;
• and
• a memory storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
• receiving parameters for testing;
• based on the parameters, selecting one or more users of a networking platform to subject to the testing and selecting edges of a network of each of the one or more users to block;
• simulating removal of the selected edges of the network by blocking content from the selected edges of the network, the blocking content comprising filtering out notifications and feed items from the selected edges of the network;
• aggregating behavior data of the one or more users by logging user actions in the network based on the filtering of the notifications and feed items, the behavior data indicating engagement of the one or more users on the networking platform based on the filtering of the notifications and feed items;
• based on the aggregated behavior data, updating a recommendation platform, the updating the recommendation platform including deriving recommendations for improving subsequent engagement of the one or more users on the networking platform by applying the aggregated behavior data to one or more predictive models;
• and
• based on the updated recommendation platform, providing the recommendations to the one or more users, use of the recommendations causing an increase in user actions associated with content in the network.

A machine-storage medium storing instructions that, when executed by one or more hardware processors of a machine, cause the machine to perform operations comprising:

• receiving parameters for testing;
• based on the parameters, selecting one or more users of a networking platform to subject to the testing and selecting edges of a network of each of the one or more users to block;
• simulating removal of the selected edges of the network by blocking content from the selected edges of the network, the blocking content comprising filtering out notifications and feed items from the selected edges of the network;
• and
• aggregating behavior data of the one or more users by logging user actions in the network based on the filtering of the notifications and feed items, the behavior data indicating engagement of the one or more users on the networking platform based on the filtering of the notifications and feed items;
• and
• based on the aggregated behavior data, updating a recommendation platform, the updating the recommendation platform including deriving recommendations for improving subsequent engagement of the one or more users on the networking platform by applying the aggregated behavior data to one or more predictive models;
• and
• based on the updated recommendation platform, providing the recommendations to the one or more users, use of the recommendations causing an increase in user actions associated with content in the network.