CAJ | 학술논문

对包含亿万个节点和边的图数据进行高效、紧凑的表示和压缩，是大规模图数据分析处理的基础。图数据压缩技术可以有效地降低图数据的存储空间，同时支持在压缩形式的图数据上进行快速访问。通过深入分析该技术的发展现状，将该技术分为基于传统存储结构的压缩技术、网页图压缩技术、社交网络图压缩技术、面向特定查询的图压缩技术4类。分别对每类技术详细分析了其代表方法并比较了它们之间的性能差异。最后对该技术进行了总结和展望。
대포함억만개절점화변적도수거진행고효、긴주적표시화압축，시대규모도수거분석처리적기출。도수거압축기술가이유효지강저도수거적존저공간，동시지지재압축형식적도수거상진행쾌속방문。통과심입분석해기술적발전현상，장해기술분위기우전통존저결구적압축기술、망혈도압축기술、사교망락도압축기술、면향특정사순적도압축기술4류。분별대매류기술상세분석료기대표방법병비교료타문지간적성능차이。최후대해기술진행료총결화전망。
How to effectively compress and represent the large-scale graphic data becomes the fundamental issue for analysis and processing. Graphic data compression technology is an effective solution to significantly reduce the storage space while supporting fast access in the compressed form. An in-depth analysis is provided on the current development of the technologies, including compression technology based on the traditional storage structure, Web graph compression technology, social network compression technology and compression technology for a particular query. A detailed analysis and performance comparison about the representative methods of each technology is presented. Finally, the summary and prospect are listed.