1. A computer-implemented method comprising: receiving an indication of one or more topic inputs authored by a first user; analyzing the one or more topic inputs to identify a topic area associated with the one or more topic inputs; generating, with a computer processor, at least one topic feed that includes the one or more topic inputs, authored by the first user, and one or more additional topic inputs authored by a second user; distributing the at least one topic feed to a set of users; receiving user inputs, from one or more users in the set of users, through the at least one distributed topic feed; based on the received user inputs, determining a number of user interactions, by users in the set of users, that directly interact with the one or more topic inputs in the at least one topic feed authored by the first user; determining that the number of user interactions meets a threshold, wherein the threshold indicates a threshold number of user interactions that directly interact with the one or more additional topic inputs authored by the second user; based on the determination that the number of user interactions meets the threshold, generating a classification of the first user relative to the topic area; and based on the generated classification, providing an output indicating an association between the user and the topic area.
1. A computer-implemented method comprising: receiving an indication of one or more topic inputs authored by a first user; analyzing the one or more topic inputs to identify a topic area associated with the one or more topic inputs; generating, with a computer processor, at least one topic feed that includes the one or more topic inputs, authored by the first user, and one or more additional topic inputs authored by a second user; distributing the at least one topic feed to a set of users; receiving user inputs, from one or more users in the set of users, through the at least one distributed topic feed; based on the received user inputs, determining a number of user interactions, by users in the set of users, that directly interact with the one or more topic inputs in the at least one topic feed authored by the first user; determining that the number of user interactions meets a threshold, wherein the threshold indicates a threshold number of user interactions that directly interact with the one or more additional topic inputs authored by the second user; based on the determination that the number of user interactions meets the threshold, generating a classification of the first user relative to the topic area; and based on the generated classification, providing an output indicating an association between the user and the topic area. 3. The computer-implemented method of claim 1 , wherein the one or more topic inputs comprise a post attributed to the first user, and wherein the topic feed comprises a user interface element that receives user inputs indicative of user interactions that directly interact with the post.