Titlebook: Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining; Nitin Agarwal,Nima Dokoohaki,Serpil To

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978-3-030-06797-7Springer International Publishing AG, part of Springer Nature 2019

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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining978-3-319-94105-9Series ISSN 2190-5428 Series E-ISSN 2190-5436

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,Bluetooth auf den Zahn gefühlt,cial media platforms often offer help and emotional support to others (the good), they also spam (the bad) and harass others as well as even manipulate others via fake news (the ugly). In order to both leverage the positive effects and mitigate the negative effects of using social media, intent mini

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Network Infrastructure Securityial media data, they are insufficient to identify and characterize social influence bots, the networks in which they reside and their behavior. However, these bots can be identified, their prevalence assessed, and their impact on groups assessed using high dimensional network analytics. This is illu

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Fundamentals of the J Programming Language, local topological features of a network. This is relevant, for example, when fitting a random graph model to a real-world network. With respect to existing measures the model might look like a good fit, however, the local topology might be very different. In the article we propose a new characteriz