Titlebook: Influence and Behavior Analysis in Social Networks and Social Media; Mehmet Kaya,Reda Alhajj Book 2019 The Editor(s) (if applicable) and T

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Temporal Model of the Online Customer Review Helpfulness Prediction with Regression Methods, prediction of the helpfulness rate of customer reviews to find the helpful reviews which are traditionally determined by the helpful voting results. In our study, we find that the helpfulness voting result of an online review is not constant over time. Therefore, predicting the voting result based

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Traits of Leaders in Movement Initiation: Classification and Identification,heir group? Do they initiate travel in new directions or are they just the first ones to start moving? Which attempts to initiate movement translate to leadership? In this paper we present a computational method to characterize and classify the types of leaders in movement initiation. We adapt a lea

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Emotional Valence Shifts and User Behavior on Twitter, Facebook, and YouTube,ated to 24 systematically chosen real-world events. For each of the 5.6 million messages, we first extracted emotion scores based on the eight basic emotions according to Plutchik’s wheel of emotions. Subsequently, we investigated the effects of shifts in the emotional valence on the messaging behav

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Diffusion Algorithms in Multimedia Social Networks: A Novel Model,om marketing to user profiling and recommendation. Anyway, although OSNs are naturally formed by heterogeneous data, in the recent past, only a few works have considered an explicit use of multimedia in their models. In this paper, we explicitly take into account the intrinsic characteristics of mul