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Titlebook: Analyzing Social Media Data and Web Networks; Marta Cantijoch,Rachel Gibson,Stephen Ward Book 2014 Palgrave Macmillan, a division of Macmi

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期刊全稱Analyzing Social Media Data and Web Networks
影響因子2023Marta Cantijoch,Rachel Gibson,Stephen Ward
視頻videohttp://file.papertrans.cn/157/156836/156836.mp4
圖書封面Titlebook: Analyzing Social Media Data and Web Networks;  Marta Cantijoch,Rachel Gibson,Stephen Ward Book 2014 Palgrave Macmillan, a division of Macmi
影響因子As governments, citizens and organizations have moved online there is an increasing need for academic enquiry to adapt to this new context for communication and political action. This adaptation is crucially dependent on researchers being equipped with the necessary methodological tools to extract, analyze and visualize patterns of web activity. This volume profiles the latest techniques being employed by social scientists to collect and interpret data from some of the most popular social media applications, the political parties‘ own online activist spaces, and the wider system of hyperlinks that structure the inter-connections between these sites. Including contributions from a range of academic disciplines including Political Science, Media and Communication Studies, Economics, and Computer Science, this study showcases a new methodological approach that has been expressly designed to capture and analyze web data in the process of investigating substantive questions.
Pindex Book 2014
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Social Data Analytics Tool: A Demonstrative Case Study of Methodology and Softwareramework and computational aspects of the Social Data Analytics Tool (SODATO). SODATO fetches, stores, analyses and visualises data from Facebook walls. The method has been previously applied to the US elections of 2008 (Robertson 2011; Robertson et al. 2010a, 2010b). Here, we replicate and extend t
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Stuttgart’s Black Thursday on Twitter: Mapping Political Protests with Social Media Dataational politics (Schrodt 2010) and public opinion research (Landmann and Zuell 2008). Event detection presupposes that major events leave traces in textual documents. By automatically identifying events in publicly available documents, researchers can establish timelines of events relevant to their
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Analysing ‘Super-Participation’ in Online Third Spacesublic sphere (cf. Gimmler 2001; Papacharissi 2002; Dahlgren 2005; Coleman and Blumler 2009). The belief that the Internet may play a significant role in reducing some of the deliberative deficit of Western democracies has sparked much interest in the potential benefits and drawbacks of online commun
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