在线社交媒体信息冗余现象建模与实证研究

doi:10.11959/j.issn.2096-0271.2018050

大数据 ›› 2018, Vol. 4 ›› Issue (5): 50-61.doi: 10.11959/j.issn.2096-0271.2018050

• 专题：大数据创新实践 • 上一篇下一篇

在线社交媒体信息冗余现象建模与实证研究

秦烁¹,吕欣^1,^2,³(),孟凡辉⁴,胡延庆⁴

¹ 国防科技大学系统工程学院，湖南长沙 410073
² 中南大学商学院，湖南长沙 410083
³ 卡罗林斯卡研究所公共卫生科学系，瑞典斯德哥尔摩 17177
⁴ 中山大学数据科学与计算机学院，广东广州 510006

出版日期:2018-09-15 发布日期:2018-12-10
作者简介:秦烁（1995-），女，国防科技大学系统工程学院硕士生，主要研究方向为复杂网络传播动力学。|吕欣（1984-），男，国防科技大学系统工程学院副教授，主要研究方向为大数据挖掘、人类行为动力学分析。|孟凡辉（1993-），男，中山大学数据科学与计算机学院硕士生，主要研究方向为计算传播学。|胡延庆（1980-），男，博士，中山大学数据科学与计算机学院副教授，主要研究方向为复杂系统理论。
基金资助:
国家自然科学基金资助项目(71522014);国家自然科学基金资助项目(71771213);国家自然科学基金资助项目(61773412);国家自然科学基金资助项目(U1711265)

Modeling and empirical research of information redundancy on online social media

Shuo QIN¹,Xin LU^1,^2,³(),Fanhui MENG⁴,Yanqing HU⁴

¹ College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
² School of Business,Central South University,Changsha 410083,China
³ Department of Public Health Sciences,Karolinska Institute,Stockholm 17177,Sweden
⁴ School of Data and Computer Science,Sun Yat-sen University,Guangzhou 510006,China

Online:2018-09-15 Published:2018-12-10
Supported by:
The National Natural Science Foundation of China(71522014);The National Natural Science Foundation of China(71771213);The National Natural Science Foundation of China(61773412);The National Natural Science Foundation of China(U1711265)

摘要/Abstract

摘要：

为深入了解社交媒体中的信息冗余现象，定义了一种以个体好友信息发布的重复情况度量信息冗余程度的指标。推导个体在传播过程中出现冗余现象的概率，分析了信息传播率、网络密度、集群系数对信息冗余的影响；通过新浪微博的实际数据观察了冗余信息的扩散特点，并从营销的角度探讨了信息冗余在广告推广和产品营销方面的意义。研究结果为进一步了解在线社交媒体的信息扩散特征提供了新的视角。

关键词: 社交网络, 在线社交媒体, 信息传播, 信息冗余

Abstract:

To learn more about redundancy phenomenon,a measurement to quantify this redundancy was proposed and the probability of individual redundancy in the process of information diffusion was deduced.Using simulated networks,how information propagation rate,network density,clustering coefficient affect information redundancy was investigated.The diffusion characteristics of redundant information through the actual data of Sina Weibo was observed and the perspective of information redundancy in advertising promotion and product marketing was discussed from marketing.The findings provide a new perspective for further understanding of the information diffusion characteristics of online social media.

Key words: social network, online social media, information diffusion, information redundancy

中图分类号:

N941.3

秦烁, 吕欣, 孟凡辉, 胡延庆. 在线社交媒体信息冗余现象建模与实证研究[J]. 大数据, 2018, 4(5): 50-61.

Shuo QIN, Xin LU, Fanhui MENG, Yanqing HU. Modeling and empirical research of information redundancy on online social media[J]. Big Data Research, 2018, 4(5): 50-61.

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网络名称	节点数N/个	边数M/条	平均度k	最大度k_max	平均集聚系数C
Facebook网络	4 039	88 234	43	1 045	0.605 5
在线音乐社交网络	41 773	125 826	6	112	0.091 2
维基百科投票网络	7 115	103 689	26	1 065	0.140 9

在线社交媒体信息冗余现象建模与实证研究

Modeling and empirical research of information redundancy on online social media

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