Titlebook: Big Data and Social Media Analytics; Trending Application Mehmet Çakırtaş,Mehmet Kemal Ozdemir Book 2021 The Editor(s) (if applicable) and

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Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker,ol can help identify leading actors, networks and spheres of influence, emerging popular trends, as well as user opinion. This analysis can also be used to understand user engagement and social networks. This can help reveal suspicious and inorganic behaviors (e.g., trolling, botting, commenter mobs

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Blog Data Analytics Using Blogtrackers,ations, journalists, and political and social scientists to examine various cyber campaigns. There are a few challenges in blog data analysis. For instance, since blogs are not uniformly structured, the absence of a universal Application Programming Interface (API) makes it difficult to collect blog

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Efficient and Flexible Compression of Very Sparse Networks of Big Data,llenging to find these frequently followed groups because most users are likely to follow only a small number of famous users. In this chapter, we present an efficient and flexible compression model for supporting the analysis and mining of very sparse networks of big data, from which the frequently

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