The power of comments: fostering social interactions in microblog networks
The power of comments: fostering social interactions in microblog networks
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DOI：
10.1007/s11704-016-5198-y
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发表时间：
2016-10
影响因子：
4.2
通讯作者：
Tianyi Wang;Yang Chen;Yi Wang;Bolun Wang;G. Wang;Xing Li;Haitao Zheng;Ben Y. Zhao
中科院分区：
文献类型：
--
作者：
Tianyi Wang;Yang Chen;Yi Wang;Bolun Wang;G. Wang;Xing Li;Haitao Zheng;Ben Y. Zhao
今天无处不在的在线社交网络具有多种用途，包括社交交流(Facebook、人人网)和新闻传播(Twitter)。但是，社交网络的设计如何定义其功能呢？要回答这个问题，需要社交网络提供商在定义和引导用户行为方面发挥积极作用。在这篇文章中，我们首先通过对新浪微博服务的测量和分析，用数据驱动的方法来回答这个问题。在我们的分析中，微博经常因为其格式而被拿来与Twitter进行比较，因为它既是一个社交工具，也是一个新闻传播平台。虽然微博在功能上与推特类似，但它提供了一个与众不同的功能--评论，允许用户围绕一条推文形成连续的对话。我们的研究重点是微博的这一特征，以及它如何促进互动和提高社交参与度。我们通过分析评论互动来揭示它们在社交互动中的作用，并使用评论图来展示微博用户互动的结构。最后，我们给出了一个案例研究，展示了评论在恶意用户检测中的影响，恶意用户检测是微博系统中的一个关键应用。也就是说，使用评论的属性显著提高了2015年5月20日收到的建模和2015年10月29日接受的电子邮件：chenYang@fudan.edu.cn和检测恶意用户的准确性。
Today’s ubiquitous online social networks serve multiple purposes, including social communication (Facebook, Renren), and news dissemination (Twitter). But how does a social network’s design define its functionality? Answering this would need social network providers to take a proactive role in defining and guiding user behavior.In this paper, we first take a step to answer this question with a data-driven approach, through measurement and analysis of the Sina Weibo microblogging service. Often compared to Twitter because of its format,Weibo is interesting for our analysis because it serves as a social communication tool and a platform for news dissemination, too. While similar to Twitter in functionality, Weibo provides a distinguishing feature, comments, allowing users to form threaded conversations around a single tweet. Our study focuses on this feature, and how it contributes to interactions and improves social engagement.We use analysis of comment interactions to uncover their role in social interactivity, and use comment graphs to demonstrate the structure of Weibo users interactions. Finally, we present a case study that shows the impact of comments in malicious user detection, a key application on microblogging systems. That is, using properties of comments significantly improves the accuracy in both modeling Received May 20, 2015; accepted October 29, 2015 E-mail: chenyang@fudan.edu.cn and detection of malicious users.