Listen to me - Evaluating the influence of micro-blogs

Listen to me - Evaluating the influence of micro-blogs
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听我说——评估微博的影响力

DOI:
10.1016/j.dss.2014.03.008
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发表时间:
2014-06-01
影响因子:
7.5
通讯作者:
Du, Timon C.
Du, Timon C.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Li, Feng;Du, Timon C.

文献摘要

被引文献

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社交网络近年来变得越来越流行。在众多的社交网络工具中,微博是最独特和最方便的工具之一,因为它简短,反应迅速,自发和移动的。这些特性使微博超越了基本的信息共享,成为一种流行的分享观点的媒体。本研究旨在探讨微博客的说服力,并建立一个先辨识意见领袖,再分析其说服力的架构。为了开发该框架,我们将微博、博客信息及其之间的关系下载到数据库中,识别垃圾邮件发送者,将社区分解为子网,识别意见领袖并进行说服力分析。结果表明,该框架能够有效识别意见领袖及其意见。结果发现,消极意见的说服力不如积极意见,积极的意见领袖更积极地传播积极的信息比消极的意见领袖是在传播负面的信息。(C)2014爱思唯尔有限公司版权所有。
Social networks have become increasingly popular in recent years. Among the many social networking tools, micro-blogging is one of the most unique and convenient because it is short, responsive, spontaneous and mobile. These properties allow micro-blogs to move beyond basic information sharing and make them a popular media for sharing opinions. In this study, we examine the persuasiveness of micro-blogs by developing a framework that first identifies opinion leaders and then analyzes their persuasiveness. To develop the framework, we download micro-blogs, blogger information and the relationships among them into a database, identify spammers, decompose communities into sub-nets, identify opinion leaders and conduct persuasiveness analyses. The results show the framework can identify opinion leaders and their opinions effectively. It was found that negative opinions are less persuasive than positive opinions, and positive opinion leaders are more aggressive in distributing positive messages than negative opinion leaders are in distributing negative messages. (C) 2014 Elsevier B.V. All rights reserved.