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WIREs Data Mining Knowl Discov
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Positive and negative behavioral analysis in social networks

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Use of online social networks has grown dramatically since the first Web 2.0 technologies were deployed in the early 2000s. Our ability to capture user data, in particular behavioral data has grown in concert with increased use of these social systems. In this study, we survey methods for modeling and analyzing online user behavior. We focus on negative behaviors (social spamming and cyberbullying) and mitigation techniques for these behaviors. We also provide information on the interplay between privacy and deception in social networks and conclude by looking at trending and cascading models in social media. WIREs Data Mining Knowl Discov 2017, 7:e1203. doi: 10.1002/widm.1203 This article is categorized under: Commercial, Legal, and Ethical Issues > Social Considerations
(a) Facebook user growth shown per quarter since 2008. More than one in six humans is a Facebook user. Data provided by Statistia.com. (b) Percentage of U.S. Internet Users/Adults who use social media. Data provided by Pew.
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Variables at play in social networks mathematical modeling.
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