摘要
[目的/意义]应用Neo4j探讨对大规模社交网络数据进行有效的存储和管理。[方法/过程]Neo4j是一个高性能的NoSQL数据库,支持图结构数据的存储和复杂查询。以Neo4j图形数据库为基础,采用B/S三层架构,结合PHP、H5等网络编程技术,设计并实现了Linked-US社交网络平台。[结果/结论]该平台可以更好的管理和更新社交网络数据及其内在关系,支持类似"好友的好友"等多层复杂查询。
[Purpose/significance] The paper is to apply Neo4j to explore effective storage and management for the large-scale social network data. [Method/process] Neo4j, which is a high performance of NoSQL database, supports storage and complex query for graph-structured data. Based on Neo4j, this paper designs and implements a social platform named Linked-US by using B/S threetier architecture combined with some network programming technologies, such as PHP and H5. [Result/conclusion] Linked-US can effectively manage and update social network data, and support multi-layer complex queries like ＂friends of friends＂.
作者
张琳
熊斯攀
Zhang Lin Xiong Sipan(School of Maritime Economics and Management of Dalian Maritime University, Dalian Liaoning 11602)
出处
《情报探索》
2018年第8期77-82,共6页
Information Research
基金
中国博士后科学基金资助项目"大数据环境下基于异构图的文本聚类在自动文摘中的应用"(项目编号:2015M571292)成果之一
