Digital modeling and prediction for spreading digital data

A computer program product comprising:

• a computer readable storage medium readable by one or more processors and storing instructions for execution by the one or more processors for performing a method comprising:
• obtaining, by the one or more processors, a universe of social media items posted to a social media platform at a given time;
• determining, by the one or more processors, a likelihood of each item of the universe of social media items becoming viral, wherein a viral item is an item reacted to, via an action available through an interface of the social media platform, by a given number of users who did not originate the item, over a defined period of time, wherein the determining comprises:
• linking, by the one or more processors, each item of the universe of social media items to a breakout pattern based on predefined dimensions;
• and
• bucketing, by the one or more processors, each item into a defined grouping based on a defined degree of similarity to the breakout pattern, based on the predefined dimensions, wherein each grouping represents a measure of anticipated virality of the item;
• applying, by the one or more processors, a susceptible-infected-recovered (SIR) model as a differential equation to the bucketed items, wherein solving the differential equation for the bucketed items determines an equilibrium and one or more breakout points;
• obtaining, by the one or more processors, an item to be posted to the social media platform or posted on the social media platform;
• and
• determining, by the one or more processors, if the item will become viral based on whether the item matches at least one or the one or more breakout points.

A system comprising:

• a memory;
• one or more processors in communication with the memory;
• program instructions executable by the one or more processors via the memory to perform a method, the method comprising:
• obtaining, by the one or more processors, a universe of social media items posted to a social media platform at a given time;
• determining, by the one or more processors, a likelihood of each item of the universe of social media items becoming viral, wherein a viral item is an item reacted to, via an action available through an interface of the social media platform, by a given number of users who did not originate the item, over a defined period of time, wherein the determining comprises:
• linking, by the one or more processors, each item of the universe of social media items to a breakout pattern based on predefined dimensions;
• and
• bucketing, by the one or more processors, each item into a defined grouping based on a defined degree of similarity to the breakout pattern, based on the predefined dimensions, wherein each grouping represents a measure of anticipated virality of the item;
• applying, by the one or more processors, a susceptible-infected-recovered (SIR) model as a differential equation to the bucketed items, wherein solving the differential equation for the bucketed items determines an equilibrium and one or more breakout points;
• obtaining, by the one or more processors, an item to be posted to the social media platform or posted on the social media platform;
• and
• determining, by the one or more processors, if the item will become viral based on whether the item matches at least one or the one or more breakout points.