Abstract: A method includes determining a recommended aspect for future content, action, or behavior. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in a social network prior to receipt of the selection. The method also includes providing the recommended aspect for the future content, action, or behavior for a unique author in the social network. The method also includes determining whether the unique author posted the future content, action, or behavior with the recommended aspect in the at least one social network. The method also includes determining, based at least in part on the determination of whether the unique author posted the future content, action, or behavior with the recommended aspect, an agility rating that indicates a responsiveness of the unique author to the recommended aspect.

Abstract: A method includes determining a plurality of harvest content items. The harvest content items are ranked based on a performance metric. Matching criterion aspects of the harvest content items are determined. Aspects of a candidate content item are compared with the plurality of harvest content items according to the matching criterion aspects. A subset of the harvest content items that are similar to the candidate content item is determined. A transformation for the candidate content item is selected and applied to the candidate content item to generate a transformed content item.

Abstract: A method includes determining a recommended aspect for content that includes at least one image. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in at least one social network, website, application software, or mobile application software (app). The method further includes generating the content including the at least one image according to the recommended aspect. The recommended aspect is an aspect of the at least one image.

Abstract: A method includes providing, by a processor of a computing device, potential requests. Each of the potential requests include an indication of at least one recommended aspect type for a future content. The method further includes receiving a selection of at least one of the potential requests for the at least one recommended aspect type for the future content. The selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app). The method further includes automatically determining, in response to the selection, the recommended aspect for the future content. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection.

Abstract: A method includes providing, by a processor of a computing device, potential requests. Each of the potential requests include an indication of at least one recommended aspect type for a future content. The method further includes receiving a selection of at least one of the potential requests for the at least one recommended aspect type for the future content. The selection is associated with a unique author in at least one social network, website, application software, or mobile application software (app). The method further includes automatically determining, in response to the selection, the recommended aspect for the future content. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in the at least one social network, website, application software, or mobile application software (app) prior to receipt of the selection.

Abstract: A method includes determining a recommended aspect for future content, action, or behavior. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in a social network prior to receipt of the selection. The method also includes providing the recommended aspect for the future content, action, or behavior for a unique author in the social network. The method also includes determining whether the unique author posted the future content, action, or behavior with the recommended aspect in the at least one social network. The method also includes determining, based at least in part on the determination of whether the unique author posted the future content, action, or behavior with the recommended aspect, an agility rating that indicates a responsiveness of the unique author to the recommended aspect.

Abstract: A system includes a memory and a processor coupled to the memory. The processor receives a first search criteria. The first search criteria specifies a first custom author crowd. The processor also receives a second search criteria. The second search criteria specifies a second custom author crowd. The processor also determines a first fluctuation of first content generated by the first custom author crowd and determines a second fluctuation of second content generated by the second custom author crowd. The processor also determines a fluctuation magnitude. The fluctuation magnitude indicates a difference between the first fluctuation to the second fluctuation.