Abstract: Provided are a method and apparatus for selecting key information of each group in grouped graph data. According to embodiments, key information of each group is selected using a term frequency-inverse document frequency (TF-IDF) value obtained for each node belonging to each group by using a TD-IDF algorithm for obtaining the importance of each term or keyword in a document.

Abstract: Provided are a method for abbreviating grouped graph data and an apparatus to which the method is applied. According to an embodiment, the method for abbreviating graph data comprises obtaining source information that is information on a graph structure and grouping information that reflects a result of clustering for the source information, obtaining one or more abbreviation candidate network motifs that all member nodes of the network motifs belong to the same group, among original network motifs extracted from the source information, selecting an abbreviation target network motif based on a sum of levels of edges belonging to the abbreviation candidate network motif of the abbreviation candidate network motifs and replacing the abbreviation target network motif with a single node.