Big Data and Political Social Networks: Introducing Audience Diversity and Communication Connector Bridging Measures in Social Network Theory

Maireder Axel; Weeks Brian E.; de Zuniga Homero Gil; Schloegl Stephan

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Big Data and Political Social Networks: Introducing Audience Diversity and Communication Connector Bridging Measures in Social Network Theory

机译：大数据和政治社交网络：在社交网络理论中介绍受众多样性和通讯连接器桥接措施

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Social media have changed the way citizens, journalists, institutions, and activists communicate about social and political issues. However, questions remain about how information is diffused through these networks and the degree to which each of these actors is influential in communicating information. In this study, we introduce two novel social network measures of connection and information diffusion that help shed light on patterns of political communication online. The Audience Diversity Score assesses the diversity of a particular actor's followers and identifies which actors reach different publics with their messages. The Communication Connector Bridging Score highlights the most influential actors in the network who are potentially able to connect different spheres of communication through their information diffusion. We apply and discuss these measures using Twitter data from the discussion regarding the Transatlantic Trade Investment Partnership in Europe. Our results provide unique insights into the role various actors play in diffusing political information in online social networks.

机译：社交媒体已经改变了公民，记者，机构和维权人士就社会和政治问题进行交流的方式。但是，仍然存在关于如何通过这些网络传播信息以及这些行为者各自在传达信息方面的影响程度的问题。在这项研究中，我们介绍了两种新颖的社交网络连接和信息传播措施，这些措施有助于阐明在线政治传播的模式。观众多样性分数可评估特定演员的追随者的多样性，并确定哪些演员可以通过其信息传达给不同的公众。通讯连接器桥接分数突出显示了网络中最具影响力的参与者，他们有可能通过其信息传播来连接不同的通信领域。我们使用有关欧洲跨大西洋贸易投资伙伴关系的讨论中的Twitter数据来应用和讨论这些措施。我们的结果提供了独特的见解，了解各种参与者在在线社交网络中传播政治信息的作用。

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来源
《Social science computer review》 |2017年第1期|126-141|共16页
作者
Maireder Axel; Weeks Brian E.; de Zuniga Homero Gil; Schloegl Stephan;
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作者单位

GfK, Global Social Media Intelligence Ctr, Ungargasse 37, A-1030 Vienna, Austria;

Univ Michigan, Dept Commun Studies, Ann Arbor, MI 48109 USA|Univ Michigan, Ctr Polit Studies, Ann Arbor, MI 48109 USA;

Univ Vienna, Media Innovat Lab MiLab, Vienna, Austria;

GfK, Global Social Media Intelligence Ctr, Ungargasse 37, A-1030 Vienna, Austria|Univ Vienna, Dept Int Dev, Vienna, Austria;

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正文语种 eng
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关键词
social network analysis; Twitter; big data; TTIP; Audience Diversity Score; communication connector bridging;

机译：社交网络分析;Twitter;大数据;TTIP;受众多样性评分;通信连接器桥接;

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5. Gaps, flows, and networks: Social space and the cultural work of communication theory in social science, sci-fi, and political movements, 1937--1980. [D] . Lierow, Lars. 2010

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Big Data and Political Social Networks: Introducing Audience Diversity and Communication Connector Bridging Measures in Social Network Theory

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