Abstract: Provided are a method and apparatus for obtaining a triangle in a graph. A computing device receives an adjacency matrix in which two vertices connected to an edge are expressed in rows and columns, divides the adjacency matrix into a plurality of blocks, searches for a search area including a plurality of blocks located at (I,K), (I,J), and (J,K) satisfying I>=J>=K (where I, J, and K are block indexes) for the plurality of blocks existing in the adjacency matrix, and identifies three vertices forming a triangle based on edge information existing in the search area.

Abstract: Provided are a graph data calculation method and apparatus. A computing device divides graph data including a source vertex and a destination vertex of an edge into a plurality of blocks, and identifies an out-degree of each vertex. Next, the computing device repeatedly performs a process of calculating, in units of blocks, a weight of a destination vertex of each edge by using a pagerank and an out-degree of a source vertex of each edge existing in a block, and updating a pagerank of each vertex of the graph data by accumulating a weight of a destination vertex of each block.

Abstract: Provided are a graph data compression method and apparatus. A computing device divides graph data including information about a source vertex and a destination vertex of an edge into a plurality of pieces, generates a plurality of compressed data obtained by compressing the plurality of pieces, and stores the plurality of compressed data as a file. The computing device may generate a plurality of pieces having a size equal to or less than a predefined data size by recursively dividing graph data.