Isbn: 9789811573781 - individual retweeting behavior on social networking sites: a study on individual information disseminating behavior on social networking sites (10 risultati)

Condizione: New. In English.

Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective. Since Individual content sharing/ retweeting behavior expedites information dissemination, it is a critical mechanism of information diffusion on Twitter.Individual sharing/retweeting behavior does not appear to happen randomly. So, what factors lead to individual information dissemination behavior What are the dominating predictors How does the recipient make retweeting decisions How do these influential predictors combine and by what mechanism do they influence an individual's retweeting decisions Furthermore, are there any differences in the process of individual retweeting decisions If so, what causes such differences In order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined people's retweeting history on Twitter and obtained a real dataset containing more than 60 million Twitter posts. They then employed text mining and natural language processing techniques to extract useful information from social media content, and used various feature selection methods to identify a subset of salient features that have substantial effects on individual retweeting behavior. Lastly, they applied the Elaboration Likelihood Model to build an overarching theoretical framework to reveal the underlying mechanisms of individual retweeting behavior. Given its scope, this book will appeal to researchers interested in investigating information dissemination on social media, as well as to marketers and administrators who plan to use social networking sites as an important avenue for information dissemination.…

Taschenbuch. Condizione: Neu. Individual Retweeting Behavior on Social Networking Sites | A Study on Individual Information Disseminating Behavior on Social Networking Sites | Juan Shi (u. a.) | Taschenbuch | xvii | Englisch | 2021 | Springer | EAN 9789811573781 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective. Since Individual content sharing/ retweeting behavior expedites information dissemination, it is a critical mechanism of information diffusion on Twitter.Individual sharing/retweeting behavior does not appear to happen randomly. So, what factors lead to individual information dissemination behavior What are the dominating predictors How does the recipient make retweeting decisions How do these influential predictors combine and by what mechanism do they influence an individual's retweeting decisions Furthermore, are there any differences in the process of individual retweeting decisions If so, what causes such differences In order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined people's retweeting history on Twitter and obtained a real dataset containing more than 60 million Twitter posts. They then employed text mining and natural language processing techniques to extract useful information from social media content, and used various feature selection methods to identify a subset of salient features that have substantial effects on individual retweeting behavior. Lastly, they applied the Elaboration Likelihood Model to build an overarching theoretical framework to reveal the underlying mechanisms of individual retweeting behavior. Given its scope, this book will appeal to researchers interested in investigating information dissemination on social media, as well as to marketers and administrators who plan to use social networking sites as an important avenue for information dissemination. 152 pp. Englisch. …

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective.This book explores and analyzes influential predicto.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective. Since Individual content sharing/ retweeting behavior expedites information dissemination, it is a critical mechanism of information diffusion on Twitter.Individual sharing/retweeting behavior does not appear to happen randomly. So, what factors lead to individual information dissemination behavior What are the dominating predictors How does the recipient make retweeting decisions How do these influential predictors combine and by what mechanism do they influence an individual's retweeting decisions Furthermore, are there any differences in the process of individual retweeting decisions If so, what causes such differences In order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined people's retweeting history on Twitter and obtained a real dataset containing more than 60 million Twitter posts. They then employed text mining and natural language processing techniques to extract useful information from social media content, and used various feature selection methods to identify a subset of salient features that have substantial effects on individual retweeting behavior. Lastly, they applied the Elaboration Likelihood Model to build an overarching theoretical framework to reveal the underlying mechanisms of individual retweeting behavior. Given its scope, this book will appeal to researchers interested in investigating information dissemination on social media, as well as to marketers and administrators who plan to use social networking sites as an important avenue for information dissemination.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch.…