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Positive and negative behavioral analysis in social networks
Author(s) -
Squicciarini Anna,
Rajtmajer Sarah,
Griffin Christopher
Publication year - 2017
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.1203
Subject(s) - spamming , deception , internet privacy , social media , focus (optics) , data science , computer science , social network (sociolinguistics) , psychology , computer security , social psychology , world wide web , the internet , physics , optics
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