Small-world phenomenon and strategies for making friends on social networking sites in mobile environment: random and non-random

Bo-chiuan Su, T. Yen
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引用次数: 3

Abstract

The ubiquity of social networking sites (SNS) is astounding. As of 2016, Facebook had over 1.65 billion users. SNS is known for challenging conventional connotations of friendship by lumping all of one's social connections, including remote acquaintances, into one uniform friend category. Research suggests that social search is the future of online search and social search is seen as the online search for persons or information on persons. Based on only the structure of SNS, this paper devises a couple of exploration techniques to predict what strategies users are going to make friends on SNS in mobile environment. Essentially, there are two strategies for making friends on SNS in mobile environment: random and non-random (friends of friends) strategies. The non-random strategy means that new friends are selected in a friends-of-friends manner. Each SNS user can select randomly chosen target user, or neighbourhood search is done to develop a social network. This study develops logit models to capture the characteristics of these choice strategies. We conduct a series of experiments related to Facebook membership. Visualising how users are linked together or not is accessible via the Facebook application programming interface (API), so that we could crawl their Facebook accounts and extract their friends' data and access all their information under their agreement. In this study we obtained the users' permission to install an application within their accounts. The study analyses 226 Facebook users who totally have 37,571 friends and 607,802 relationships. The results significantly show that the number of individuals' friends, the value of closeness function, the betweenness value, and the clustering coefficient are the four important factors when an individual makes friends on Facebook. The accuracy of our models predicting the random or non-random strategies for making friends on Facebook is 84.5%. In addition, this paper significantly verifies the small-world phenomenon or six degrees of separation on Facebook. Implications for practitioners and academics are discussed.
移动环境下社交网站的小世界现象与交友策略:随机与非随机
社交网站(SNS)的无所不在令人震惊。截至2016年,脸书拥有超过16.5亿用户。社交网络以挑战传统的友谊内涵而闻名,它将一个人的所有社会关系,包括远方的熟人,归为一个统一的朋友类别。研究表明,社交搜索是在线搜索的未来,社交搜索被视为对个人或个人信息的在线搜索。本文仅从SNS的结构出发,设计了一些探索技术来预测移动环境下用户在SNS上的交友策略。从本质上讲,在手机环境下的社交网络上有两种交友策略:随机和非随机(朋友的朋友)策略。非随机策略意味着以朋友的朋友的方式选择新朋友。每个SNS用户可以随机选择目标用户,或者通过邻居搜索来建立一个社交网络。本研究发展logit模型来捕捉这些选择策略的特征。我们进行了一系列与Facebook会员相关的实验。通过Facebook应用程序编程接口(API),可以可视化用户是如何链接在一起的,这样我们就可以抓取他们的Facebook账户,提取他们的朋友数据,并在他们的协议下访问他们的所有信息。在这项研究中,我们获得了用户的许可,在他们的帐户中安装一个应用程序。这项研究分析了226名Facebook用户,他们总共有37571个朋友和607802段关系。结果显著表明,个体在Facebook上交友时,好友数量、亲近函数值、中间值和聚类系数是影响个体交友的四个重要因素。我们的模型预测Facebook上的随机或非随机交友策略的准确率为84.5%。此外,本文还显著验证了Facebook上的小世界现象或六度分离现象。讨论了对从业者和学者的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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