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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

The Moderating Roles of Network Density and Redundancy in Lurking Behavior on User-Generated-Content Online Communities

verfasst von : Xingyu Chen, Yitong Wang, Xianqi Hu, Zhan Zhou

Erschienen in: Advances in Artificial Intelligence, Software and Systems Engineering

Verlag: Springer International Publishing

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Abstract

Sharing content is one of the important ways of information diffusion in online UGC (User-Generated Content), communities. Most of previous research on the sharing behavior focused on predicting the sharing behavior by the inherent characteristics of the posts. This study addressed the important role of social networking characteristics, including network structure and information density, on users’ sharing behavior. Based on a social network from a large UGC platform in China, this study analyzed the panel data of 10,000 users of their daily activities. The results showed that network density and redundancy jointly influenced users’ sharing behavior. This study contributes to social network theory by providing new empirical evidence on user-generated content diffusion in UGC community. In particular, it explained how network density moderating the effect of users on UGC diffusion. This study also had important management implications for platform managers to design effective product strategies to increase UGC diffusion.

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Vorheriges Kapitel Analyzing the Single-Use Plastic Bags Ban Policy in California with Social Network Model and Diffusion Model
Nächstes Kapitel Online Social Media Addictive Behavior: Case Study of Thai Military Officers
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Metadaten
Titel
The Moderating Roles of Network Density and Redundancy in Lurking Behavior on User-Generated-Content Online Communities
verfasst von
Xingyu Chen
Yitong Wang
Xianqi Hu
Zhan Zhou
Copyright-Jahr
2019
Buch
Advances in Artificial Intelligence, Software and Systems Engineering

Print ISBN: 978-3-319-94228-5

Electronic ISBN: 978-3-319-94229-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-94229-2_41