Titlebook: Complex Spreading Phenomena in Social Systems; Influence and Contag Sune Lehmann,Yong-Yeol Ahn Book 2018 Springer International Publishing

cognizant

Attention on Weak Ties in Social and Communication Networkst attention, measured as the fraction of interactions devoted to a particular social connection, is high on weak ties—possibly reflecting the postulated informational purposes of such ties—but also on very strong ties. Data from online social media and mobile communication reveal network-dependent m

nurture

Vasoconstrictor

Challenges to Estimating Contagion Effects from Observational Data

繁榮地區(qū)

https://doi.org/10.1007/978-3-8349-9649-7dy of how the structure of thresholds and their behavioral consequences can vary by individual and social context. The third area concerns the roles of diversity and homophily in the dynamics of complex contagion, including both diversity of demographic profiles among local peers and the broader not

有權

https://doi.org/10.1007/978-3-8349-9649-7ted. Finally, we present some applications of influencer identification in diverse real-world systems, including online social platforms, scientific publication, brain networks, and socioeconomic systems.

NOVA

https://doi.org/10.1007/978-3-8349-9649-7ultaneous study of network structures and dynamics of online service adoption, shedding light on the mechanisms and external effects that influence the temporal evolution of behavioural or innovation adoption. These advancements have induced the development of more realistic models of social spreadi

千篇一律

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Don Passey,Gavin Hawkins,Darren Cliftt attention, measured as the fraction of interactions devoted to a particular social connection, is high on weak ties—possibly reflecting the postulated informational purposes of such ties—but also on very strong ties. Data from online social media and mobile communication reveal network-dependent m

愉快嗎

Inger Langseth,Halvdan HaugsbakkenSubjective Well Being or happiness that is derived from a longitudinal sentiment analysis of the content written by each user over an extended period of time. We find that such Happiness is correlated with Popularity within social networks resulting in a so-called Happiness Paradox. In other words,

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