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The bottom-up formation and maintenance of a Twitter community: analysis of the #FreeJahar Twitter community

机译:自下而上的Twitter社区的形成和维护:#FreeJahar Twitter社区的分析

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摘要

Purpose – The article explores the formation, maintenance and disintegration of a fringe Twitter community in order to understand if offline community structure applies to online communities Design/methodology/approach – The research adopted Big Data methodological approaches in tracking user-generated contents over a series of months and mapped online Twitter interactions as a multimodal, longitudinal ‘social information landscape’. Centrality measures were employed to gauge the importance of particular user nodes within the complete network and time-series analysis were used to track ego centralities in order to see if this particular online communities were maintained by specific egos. Findings – The case study shows that communities with distinct boundaries and memberships can form and exist within Twitter’s limited user content and sequential policies, which unlike other social media services, do not support formal groups, demonstrating the resilience of desperate online users when their ideology overcome social media limitations. Analysis in this article using social networks approaches also reveals that communities are formed and maintained from the bottom-up.\udResearch limitations/implications – The research data is based on a particular dataset which occurred within a specific time and space. However, due to the rapid, polarising group behaviour, growth, disintegration and decline of the online community, the dataset presents a ‘laboratory’ case from which many other online community can be compared with. It is highly possible that the case can be generalised to a broader range of communities and from which online community theories can be proved/disproved. Practical implications – The article showed that particular group of egos with high activities, if removed, could entirely break the cohesiveness of the community. Conversely, strengthening such egos will reinforce the community strength. The questions mooted within the paper and the methodology outlined can potentially be applied in a variety of social science research areas. The contribution to the understanding of a complex social and political arena, as outlined in the paper, is a key example of such an application within an increasingly strategic research area - and this will surely be applied and developed further by the computer science and security community.\udOriginality/value – The majority of researches that cover these domains have not focused on communities that are multimodal and longitudinal. This is mainly due to the challenges associated with the collection and analysis of continuous datasets that have high volume and velocity. Such datasets are therefore unexploited with regards to cyber-community research.
机译:目的–本文探讨了边缘Twitter社区的形成,维护和解体,以了解离线社区结构是否适用于在线社区设计/方法/方法–研究采用大数据方法来跟踪一系列用户生成的内容数月,并将在线Twitter互动映射为多模式的纵向“社会信息格局”。集中度度量用于评估整个网络中特定用户节点的重要性,并使用时间序列分析来跟踪自我集中度,以查看特定的在线社区是否由特定的自我维护。调查结果–案例研究表明,具有不同边界和成员资格的社区可以在Twitter的有限用户内容和顺序政策中形成和存在,这与其他社交媒体服务不同,它不支持正式团体,这表明当绝望的在线用户克服了意识形态时便表现出了韧性社交媒体限制。本文中使用社交网络方法进行的分析还揭示了社区是自下而上形成和维护的。\ ud研究局限/含义–研究数据基于在特定时间和空间内发生的特定数据集。但是,由于在线社区的群体行为迅速,两极分化,增长,瓦解和衰落,该数据集提供了一个“实验室”案例,可以与许多其他在线社区进行比较。该案例很有可能被推广到更广泛的社区,并由此可以证明/证明在线社区理论。实际意义–文章显示,活动活跃的特定自负群体如果被消除,则可能完全破坏社区的凝聚力。相反,加强这种自负会增强社区力量。本文中提出的问题和概述的方法可以潜在地应用于各种社会科学研究领域。如本文所述,对理解复杂的社会和政治领域所做的贡献是这种应用在日益发展的战略研究领域中的一个关键示例-计算机科学和安全界肯定会进一步应用和开发这种应用。 \\ udOriginality / value –涵盖这些领域的大多数研究都没有关注多模式和纵向的社区。这主要是由于与具有高体积和高速度的连续数据集的收集和分析相关的挑战。因此,就网络社区研究而言,尚未利用此类数据集。

著录项

  • 作者

    Ch'ng, Eugene;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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