Abstract: A method and device for predicting popularity by setting various criteria of popularity of social data spread over a social network service (SNS) including: a data collecting unit to collect previous data created during a predetermined time and created in real time from data storage associated with an SNS, a data popularity prediction resource building unit to extract user information and data information from the previous data created during the predetermined time and build a social data popularity prediction resource using the extracted user information and data information, and a popularity predicting unit to predict popularity of the social data created in real time using the data information and the user information extracted from the data created in real time and the built popularity prediction resource, in which the predicted popularity includes predicted values of at least two items among a spread amount, a popularity time, and a spread rate.

Abstract: Provided are an apparatus for analyzing an event time-space correlation in a social web media and an operating method thereof. The apparatus includes a collection unit configured to collect a text type of document data from the social web media, a storage unit configured to store an event keyword indicating an event and event-related information including event time-space information corresponding to the event keyword, an extraction unit configured to linguistically analyze the document data to extract the event keyword and the event-related information associated with the event keyword from the document data based on a result of the linguistic analysis, and an output unit configured to receive the event keyword and event-related information and convert the received event keyword and event-related information into visual information and output the visual information.