社交网络中信息传播预测的研究综述

doi:10.3969/j.issn.1671-1122.2015.05.008

摘要/Abstract

摘要：

随着Web 2.0的发展及在线社交媒体的日渐成熟,社交网络俨然成为人们进行社会交互、信息分享、资讯传递的不可或缺的平台。与传统的传播方式不同,信息通过用户交互行为在社交网络中被大规模地迅速传播,这在一定程度上推动了市场营销、信息产业等的发展,但同时也增加了危害事件、不良信息、负面新闻等产生的突发性和频度,其引发的信息问题为互联网的安全运行带来了新的挑战。因此,在人们致力于充分开发和利用在线信息资源以及不断获取服务的同时,为防止信息传播的安全问题对国家和公众造成重大伤害,文章着力于研究社交网络中的信息传播预测问题。通过对信息传播进行预测,可以及早发现传播中的信息存在的潜在威胁,使得我国的信息行业能够更好地前进和发展。文章首先简要介绍了社交网络的概念和信息传播的机制,然后分析并归纳了传播中用户、信息内容和用户间关系这3个影响因素以及与传播预测相关的几个主要特征,接着从基于感染过程、基于传播特征、基于统计推断和基于影响力这4个方面综合论述了当前国内外对于传播预测问题所研究及采用的模型和方法,最后进行总结并讨论未来的研究方向。

关键词: 社交网络, 信息传播, 预测模型

Abstract:

With the development of Web 2.0 and the gradual maturity of online social media, social network has become an indispensable platform for people’s social interaction, information sharing and news transmission. Being different with traditional diffusion ways, information is propagating fast on a large scale through users’ communication behavior, which promotes business such as marketing and information industry to some extent. Meanwhile, nevertheless, it increases the burst opportunity and frequency that destructive events, malicious information, negative news happens. The problems caused by these phenomena give rise to new challenge to internet security. Therefore, while people devote themselves to fully explore and use online information resource and obtain its service, in order to prevent security issues during information diffusion from jeopardizing nation and public interests, this paper concentrate upon doing research about the problem of information diffusion prediction in social network. Under the way of predicting information propagation, can potential threats hide in information be found at an early stage, thus our national information industry will stand a far better chance of growing. To be specific, this paper briefly introduces the mechanism of information propagation, analyzes and concludes three influence factors (user, information content and relationship between users) and main diffusion characteristics, then summarizes the diffusion prediction models and methods from four aspects, namely, infection-based, diffusion characteristics-based, statistic and inference-based and influence-based models. Finally, the directions for the future research are discussed.

Key words: social network, information diffusion, prediction model

中图分类号:

TP309

王乐, 王勇, 王东安, 徐小琳. 社交网络中信息传播预测的研究综述[J]. 信息网络安全, 2015, 15(5): 47-55.

WANG Le, WANG Yong, WANG Dong-an, XU Xiao-lin. A Survey of Information Diffusion Prediction in Online Social Networks[J]. Netinfo Security, 2015, 15(5): 47-55.

图/表 3

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