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新浪微博加V用户特征分析

何跃 帅马恋 余伟萍

情报杂志Issue(9):148-151,4.
情报杂志Issue(9):148-151,4.DOI:10.3969/j.issn.1002-1965.2014.09.026

新浪微博加V用户特征分析

Analysis on the Sina Micro-blog Verified Users

何跃 1帅马恋 1余伟萍1

作者信息

  • 1. 四川大学商学院 成都 610064
  • 折叠

摘要

Abstract

The paper firstly analyzes the overall statistical characteristics of the sample dataset . Then, according to the spread size, activity and usage frequency, we choose the follower number, followered number, mutual followed number and post frequency as the input index to subdivide the verified users. Results show that the verified users can be categorized to three types of the common group, the social group and the most valuable user group. As for Micro-blogging marketing, the most valuable user group can be of the most helpful.

关键词

新浪微博/加V用户/两步聚类分析法/微博营销/用户特征

Key words

Sina Micro-blog/verified users/two-step cluster analysis/Micro-blogging marketing/user characteristics

分类

社会科学

引用本文复制引用

何跃,帅马恋,余伟萍..新浪微博加V用户特征分析[J].情报杂志,2014,(9):148-151,4.

基金项目

四川大学中央高校基本科研业务费项目“基于中文微博的负面情绪预警研究”(编号:skqy201406) (编号:skqy201406)

国家自然科学基金项目“企业社会责任行为对丑闻品牌形象的修复机理及策略体系研究”(编号:71372189)。 (编号:71372189)

情报杂志

OA北大核心CHSSCDCSSCI

1002-1965

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