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- W2944914892 abstract "Outbreaks of social events can be viewed from two angles: anomalous changes of information or popular actions. Event detection algorithms focus on the former one, while the later one is measured by social event intensity, which is a rate to show how popular an action is in a social network at a given time. The rate is relatively intuitive and can give a holistic view about activity levels in a network, but its estimation isn't easy. Inspired by event detection algorithms, this study proposes an alternative measure, social event magnitude, by using the product of background influence and cooperation value. Background influence is extracted via non-backtracking matrices, and cooperation value is obtained via engagement capacities. This alternative measure does not just integrate multisource information, but also gives a holistic view about activity levels in a network. Social event magnitudes follow a long-tailed distribution; they can be visualized for changing activities and can be applied to online event detections." @default.
- W2944914892 created "2019-05-29" @default.
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- W2944914892 date "2019-06-26" @default.
- W2944914892 modified "2023-09-25" @default.
- W2944914892 title "Social Event Magnitudes via Background Influences and Engagement Capacities and its Applications" @default.
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- W2944914892 doi "https://doi.org/10.1145/3326467.3326481" @default.
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