1. A method, comprising: receiving prior user information data comprising a plurality of usernames corresponding to a known user; receiving a candidate user information datum comprising a username corresponding to an unknown user; identifying a first behavioral pattern in the prior user information data based on content in the plurality of usernames, wherein the first behavioral pattern identifies the known user based on the content in the plurality of usernames, and a second behavioral pattern based on a content in the username in the candidate user information datum, wherein the second behavioral pattern is based on the content in the username and is indicative of the unknown user, wherein the step of identifying a first behavioral pattern in the prior user information data based on content in the plurality of usernames comprises the step of determining a distribution of dynamic time warping (DTW) distances for the plurality of usernames, and wherein the step of determining whether the candidate user information datum and the prior user information data correspond to the same user comprises determining whether a distribution of DTW distances indicates that the candidate user information datum belongs to the known user; and determining, based at least in part on the first and second behavioral patterns, whether the candidate user information datum and the prior user information data correspond to a user such that the known user and the unknown user are the same user.