Journalists’ ego networks in Twitter: Invariant and distinctive structural features

Q1 Social Sciences
Mustafa Toprak, Chiara Boldrini, Andrea Passarella, Marco Conti
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引用次数: 0

Abstract

Ego networks have proved to be a valuable tool for understanding the relationships that individuals establish with their peers, both in offline and online social networks. Particularly interesting are the cognitive constraints associated with the interactions between the ego and the members of their ego network, which limit individuals to maintain meaningful interactions with no more than 150 people, on average, and to arrange such relationships along concentric circles of decreasing engagement. In this work, we focus on the ego networks of journalists on Twitter, considering 17 different countries, and we investigate whether they feature the same characteristics observed for other relevant classes of Twitter users, like politicians and generic users. Our findings are that journalists are generally more active and interact with more people than generic users, regardless of their country. Their ego network structure is very aligned with reference models derived in anthropology and observed in general human ego networks. Remarkably, the similarity is even higher than the one of politicians and generic users ego networks. This may imply a greater cognitive involvement with Twitter for journalists than for other user categories. From a dynamic perspective, journalists have stable short-term relationships that do not change much over time. In the longer term, though, ego networks can be pretty dynamic, especially in the innermost circles. Moreover, the ego-alter ties of journalists are often information-driven, as they are mediated by hashtags both at their inception and during their lifetime. Finally, we found that relationships between journalists are assortative in popularity: journalists tend to engage with other journalists of similar popularity, in all layers but especially in their innermost ones. Instead, when journalists interact with generic users, this assortativity is only present in the innermost layers.

记者在Twitter上的自我网络:不变的和独特的结构特征
自我网络已被证明是一个有价值的工具,用于理解个人与同伴建立的关系,无论是在线下还是在线社交网络中。特别有趣的是与自我和自我网络成员之间的互动相关的认知约束,这限制了个体与平均不超过150人保持有意义的互动,并沿着减少参与度的同心圆安排这种关系。在这项工作中,我们关注17个不同国家的推特记者的自我网络,并调查他们是否具有其他相关类别的推特用户(如政治家和普通用户)所观察到的相同特征。我们的发现是,记者通常比普通用户更活跃,与更多的人互动,无论他们来自哪个国家。他们的自我网络结构与人类学中衍生的参考模型非常一致,并在一般的人类自我网络中观察到。值得注意的是,这种相似性甚至高于政治家和普通用户自我网络的相似性。这可能意味着,与其他用户类别相比,记者对Twitter的认知参与程度更高。从动态的角度来看,记者有稳定的短期关系,随着时间的推移不会发生太大变化。然而,从长远来看,自我网络可能是非常动态的,尤其是在最内部的圈子里。此外,记者的自我改变关系往往是由信息驱动的,因为他们在一开始和一生中都受到话题标签的调节。最后,我们发现记者之间的关系在受欢迎程度上是分类的:记者倾向于与其他受欢迎程度相似的记者交往,在所有层面上,尤其是在他们最内在的层面上。相反,当记者与普通用户互动时,这种分类性只存在于最内层。
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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来源期刊
Online Social Networks and Media
Online Social Networks and Media Social Sciences-Communication
CiteScore
10.60
自引率
0.00%
发文量
32
审稿时长
44 days
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