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Influential spreaders in the political Twitter sphere of the 2013 Malaysian general election

机译:2013年马来西亚大选的政治推特领域的有影响力的传播者

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Purpose The purpose of this paper is to investigate political influential spreaders in Twitter at the juncture before and after the Malaysian General Election in 2013 (MGE2013) for the purpose of understanding if the political sphere within Twitter reflects the intentions, popularity and influence of political figures in the year in which Malaysia has its first "social media election." Design/methodology/approach A Big Data approach was used for acquiring a series of longitudinal data sets during the election period. The work differs from existing methods focusing on the general statistics of the number of followers, supporters, sentiment analysis, etc. A retweeting network has been extracted from tweets and retweets and has been mapped to a novel information flow and propagation network we developed. The authors conducted quantitative studies using k-shell decomposition, which enables the construction of a quantitative Twitter political propagation sphere where members posited at the core areas are more influential than those in the outer circles and periphery. Findings The authors conducted a comparative study of the influential members of Twitter political propagation sphere on the election day and the day after. The authors found that representatives of political parties which are located at the center of the propagation network are winners of the presidential election. This may indicate that influential power within Twitter is positively related to the final election results, at least in MGE2013. Furthermore, a number of non-politicians located at the center of the propagation network also significantly influenced the election.Research limitations/implications - This research is based on a large electoral campaign in a specific election period, and within a predefined nation. While the result is significant and meaningful, more case studies are needed for generalized application for identifying potential winning candidates in future social-media fueled political elections.Practical implications - The authors presented a simple yet effective model for identifying influential spreaders in the Twitter political sphere. The application of the authors' approach yielded the conclusion that online "coreness" score has significant influence to the final offline electoral results. This presents great opportunities for applying the novel methodology in the upcoming Malaysian General Election in 2018. The discovery presented here can be used for understanding how different players of political parties engage themselves in the election game in Twitter. The approach can also be adopted as a factor of influence for offline electoral activities. The conception of a quantitative approach in electoral results greatly influenced by social media means that comparative studies could be made in future elections.Originality/value - Existing works related to general elections of various nations have either bypassed or ignored the subtle links between online and offline influential propagations. The modeling of influence from social media using a longitudinal and multilayered approach is also rarely studied. This simple yet effective method provides a new perspective of practice for understanding how different players behave and mutually shape each other over time in the election game.
机译:目的本文的目的是在2013年马来西亚大选之前(MGE2013)前后调查Twitter中具有政治影响力的传播者,以了解Twitter中的政治领域是否反映了政治人物的意图,知名度和影响力在马来西亚第一次进行“社交媒体选举”的年份。设计/方法/方法在选举期间,大数据方法用于获取一系列纵向数据集。这项工作与关注于关注者数量,支持者,情感分析等的一般统计的现有方法不同。从推文和转发中提取了一个转发网络,并将其映射到我们开发的新型信息流和传播网络中。作者使用k壳分解进行了定量研究,这可以构建一个定量的Twitter政治传播领域,在该领域中,位于核心区域的成员要比位于外围和外围的成员更具影响力。调查结果作者在选举日及after日对Twitter政治传播领域的影响力成员进行了比较研究。作者发现,位于传播网络中心的政党代表是总统选举的获胜者。这可能表明,至少在MGE2013中,Twitter内的影响力与最终选举结果呈正相关。此外,位于传播网络中心的许多非政治人物也对选举产生了重大影响。研究局限/含义-这项研究是基于特定选举时期和预定国家/地区的大规模选举活动。尽管结果是有意义的,但仍需要更多案例研究,才能在未来社交媒体引发的政治选举中普遍应用以确定潜在的获胜者。实际意义-作者提出了一个简单而有效的模型,用于识别Twitter政治领域中有影响力的传播者。作者方法的应用得出的结论是,在线“核心”得分对最终的离线选举结果具有重大影响。这为在即将于2018年举行的马来西亚大选中应用新颖方法提供了巨大的机会。此处提出的发现可用于了解不同政党参与者如何在Twitter中参与选举游戏。该方法也可以用作影响离线选举活动的因素。选举结果定量方法的概念受到社会媒体的极大影响,意味着可以在未来的选举中进行比较研究。原创性/价值-与各国大选相关的现有作品已经绕过或忽略了在线和离线之间的微妙联系有影响的传播。也很少研究使用纵向和多层方法对社交媒体的影响进行建模。这种简单而有效的方法为了解选举过程中不同玩家的行为方式以及彼此之间的相互影响提供了一种新的实践视角。

著录项

  • 来源
    《Industrial management & data systems》 |2019年第1期|54-68|共15页
  • 作者单位

    Nanjing Univ Finance & Econ, Sch Informat & Engn, Nanjing, Jiangsu, Peoples R China|Univ Nottingham, Int Doctoral Innovat Ctr, Ningbo, Zhejiang, Peoples R China;

    Univ Nottingham, NVIDIA Technol Ctr, Ningbo, Zhejiang, Peoples R China;

    NVIDIA Technol Ctr, Singapore, Singapore;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Social media; Twitter;

    机译:社交媒体;Twitter;

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