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社交网络营销追踪

占桓^1,2, 陈志德^1,2, 王孟^1,2

(1.福建师范大学数学与计算机科学学院, 福州 350007;2.福建师范大学网络安全与密码技术福建省重点实验室, 福州 350007)

Track of Social Network Marketing

ZHAN Huan^1,2, CHEN Zhi-De^1,2, WANG Meng^1,2

(1.College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China;2.Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China)

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本文已被：浏览 1466次下载 2313次
Received:June 16, 2014 Revised:July 30, 2014

中文摘要: 对社交网络营销效果追踪方面的研究尚处起步阶段. 根据社交网络营销效果追踪的需求, 设计了社交网络信息采集和数据处理平台. 该平台使用爬虫技术的方式, 在信息获取速度受限的前提下, 尽可能多的获取信息. 通过构建转发树的算法, 得到社交网络营销追踪传播图. 实验结果表明, 平台自动获取所需求的数据并处理, 绘制信息传播图, 由此找到信息传播中的引爆点及其评论信息, 即关系营销中重要关系节点及其反馈信息. 平台还可以统计出互动用户的其他相关信息, 便于社交网络营销效果的追踪.

中文关键词: 社交网络营销效果追踪传播分析数据可视化

Abstract:The study on social network marketing effect tracing is still in the infancy. To meet the need of social network marketing effect, a platform is designed for social network information collection and data processing. The platform uses crawler technology to obtain information. Although the speed of information collection is limited, the platform can acquire as much information as possible. The spread diagram for social network marketing tracking will be obtained by building a forwarding tree algorithm. Experiment results show that the platform can automatically acquire and process the data, and then draw an information dissemination graph. The information dissemination graph is used to find the tipping point and comment information in the information dissemination, that is, the important relationship nodes and feedback information in relationship marketing. The platform can also obtain other related statistics information of interactive users to facilitate the tracking of social network marketing effect.

keywords: social network marketing track of effect propagation analysis data visualization

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引用文本：
占桓,陈志德,王孟.社交网络营销追踪.计算机系统应用,2015,24(3):50-56
ZHAN Huan,CHEN Zhi-De,WANG Meng.Track of Social Network Marketing.COMPUTER SYSTEMS APPLICATIONS,2015,24(3):50-56

Author Name	Affiliation
ZHAN Huan	College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China
CHEN Zhi-De	College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China
WANG Meng	College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China

Author Name	Affiliation
ZHAN Huan	College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China
CHEN Zhi-De	College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China
WANG Meng	College of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China Fujian Normal University, Network Security and Cryptography Key Laboratory of Fujian Province, Fuzhou 350007, China