|国家预印本平台
首页|大规模社会网络分析数据模型的设计与实现

大规模社会网络分析数据模型的设计与实现

HE DESIGN AND IMPLEMENT OF DATA MODEL OF LARGE-SCALE SOCIAL NETWORK ANALYSIS

中文摘要英文摘要

SNA(Social Network Analysis,社会网络分析)逐渐成为研究的重点。现代SN(Social Network,社会网络)往往都是几百万甚至上千万的超大规模数据集,因此如何处理大规模的社会网络数据集成为传统的社会网络分析算法具面临的一个较为严峻的挑战。本文将介绍X-RIME:基于Hadoop的大规模社会网络分析工具中算法模型的设计与实现。

With the fast development of Social Networking Sites (SNS) such as Renren, Facebook, etc., Social Network Analysis (SNA) is becoming a hot research area. However, considering a typical SNS consists of millions to tens of millions of ultra-large-scale data sets, how to deal with such large-scale Social Network (SN) data sets becomes a great challenge for existing SNA tools. Towards this problem, this paper will give brief introdcution to the design and implement of the data model in X-RIME: a Hadoop-based analysis tool for large-scale social network.

杨寅

计算技术、计算机技术

云计算HADOOPNASNA

Social Network AnalysisX-RIMEHADOOPCloud Computing

杨寅.大规模社会网络分析数据模型的设计与实现[EB/OL].(2010-12-17)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/201012-658.点此复制

评论