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- W3074323873 abstract "Smart societies of the future will increasingly rely on harvesting rich information generated by day-to-day activities and interactions of its inhabitants. Among the multitude of such interactions, web-based social networking activities became an integral part of everyday human communication. Flickr, Facebook, Twitter, and LinkedIn are currently used by millions of users worldwide as a source of information, which is growing exponentially over time. In addition to idiosyncratic personal characteristics, web-based social data include person-to-person communication, online activity patterns, and temporal information, among others. However, analysis of social interaction-based data has been studied from the perspective of person identification only recently. In this chapter, the authors elaborate on the concept of using interaction-based features from online social networking platforms as a part of social behavioral biometrics research domain. They place this research in the context of smart societies and discuss novel social biometric features and their potential use in various applications." @default.
- W3074323873 created "2020-08-24" @default.
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- W3074323873 date "2020-01-01" @default.
- W3074323873 modified "2023-10-16" @default.
- W3074323873 title "Social Behavioral Biometrics in Smart Societies" @default.
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- W3074323873 doi "https://doi.org/10.4018/978-1-7998-4444-0.ch001" @default.
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