Suppr超能文献

基于兴趣的动态社交网络中的谣言传播。

Rumor diffusion in an interests-based dynamic social network.

作者信息

Tang Mingsheng, Mao Xinjun, Guessoum Zahia, Zhou Huiping

机构信息

College of Computer, National University of Defense Technology, Changsha 410073, China.

LIP 6, Université Pierre et Marie Curie Paris, 75006 Paris, France.

出版信息

ScientificWorldJournal. 2013 Dec 21;2013:824505. doi: 10.1155/2013/824505. eCollection 2013.

Abstract

To research rumor diffusion in social friend network, based on interests, a dynamic friend network is proposed, which has the characteristics of clustering and community, and a diffusion model is also proposed. With this friend network and rumor diffusion model, based on the zombie-city model, some simulation experiments to analyze the characteristics of rumor diffusion in social friend networks have been conducted. The results show some interesting observations: (1) positive information may evolve to become a rumor through the diffusion process that people may modify the information by word of mouth; (2) with the same average degree, a random social network has a smaller clustering coefficient and is more beneficial for rumor diffusion than the dynamic friend network; (3) a rumor is spread more widely in a social network with a smaller global clustering coefficient than in a social network with a larger global clustering coefficient; and (4) a network with a smaller clustering coefficient has a larger efficiency.

摘要

为了研究社交朋友网络中的谣言传播,基于兴趣提出了一种具有聚类和社区特征的动态朋友网络,并提出了一个传播模型。利用这个朋友网络和谣言传播模型,基于僵尸城市模型进行了一些模拟实验,以分析社交朋友网络中谣言传播的特征。结果显示了一些有趣的发现:(1)正面信息可能会在人们通过口口相传修改信息的传播过程中演变成谣言;(2)在平均度相同的情况下,随机社交网络的聚类系数较小,比动态朋友网络更有利于谣言传播;(3)谣言在全局聚类系数较小的社交网络中比在全局聚类系数较大的社交网络中传播得更广;(4)聚类系数较小的网络具有更高的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/416b/3881697/ed2df691a403/TSWJ2013-824505.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验