SYSTEMS AND METHODS FOR SOCIAL MEDIA TREND PREDICTION

摘要

Embodiments relate to systems, devices, and computer-implemented methods for predicting social media trends by receiving multiple sets of social media data from a social media service, wherein each set of social media data includes multiple entries and each entry is associated with a user identifier. For each set of social media data: labels can be extracted; a social media data graph can be generated with nodes representing labels and user identifiers and edges representing a co-occurrence of labels or a co-occurrence of a label and a user identifier; and the social media data graph can be analyzed to determine a graph metric score for nodes corresponding to a label. The graph metric scores of a node across multiple sets of social media data can be used to predict that the label corresponding to the node will be significant to trending, e.g., will begin trending.

主权项

1. A computer-implemented method, comprising:
receiving a set of social media data comprising a plurality of entries, wherein each entry of the plurality of entries is associated with a user identifier; extracting, using one or more processors, a plurality of labels from the set of social media data; generating a social media data graph comprising a plurality of nodes and a plurality of edges, wherein:
each node of the plurality of nodes corresponds to one of a unique label of the plurality of labels or a user identifier associated with an entry of the plurality of entries; andeach edge of the plurality of edges corresponds to a co-occurrence, in a single entry of the plurality of entries, of two labels of the plurality of labels or a label of the plurality of labels and a user identifier; determining a graph metric score of a node, of the plurality of nodes, corresponding to a label; and predicting that the label will begin trending based on the graph metric score of the node corresponding to the label.