在线社会网络的数据采集方法的研究  

Research on a method of data acquisition in online social network

作　　者：黄蓝会[1] 

机构地区：[1]宝鸡文理学院计算机系,陕西宝鸡721013

出　　处：《信息技术》2014年第2期53-55,共3页Information Technology

基　　金：陕西省教育厅专项科研计划项目(12JK0550);宝鸡文理学院院级重点项目(ZK121111)

摘　　要：在线社会网络是一个由亿万级用户及联接关系构成的大规模集合,其中以新浪微博为典型代表,目前已经成为人们日常交流的重要方式。如何在新浪微博中分析其用户的特征和网络拓扑结构成为研究在线社会网络的基础,利用新浪微博开放平台提供的API采集数据,实验证明,该方法切实可行。Online social network is large collection, which include millions of users and connection. Sina microblog as typical representative becomes an important part of our lives. The goal is only to study how do users connect with each other and form the network using standard complex network techniques. Topic detection and hot topic prediction are very important research content in online social network. However, they are beyond the scope of this paper. This paper using API tries to gather data on the Sina microblog platform. The proposed method is proved in practice to be of real feasibility.

关 键 词：在线社会网络 新浪微博 API 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]