China
Africa
Explore chapters and articles related to this topic
Social Theory and Networks
Published in Michael Muhlmeyer, Shaurya Agarwal, Information Spread in a Social Media Age, 2021
Michael Muhlmeyer, Shaurya Agarwal
Using an empirical study of news spread on social media networks such as Digg and Twitter, researchers extracted data from the social network sites to demonstrate the critical role they play in information spread and how the network structure affects the information flow [28]. No explicit dynamics or modeling is given, but they demonstrate the importance and value of the empirical analysis of social media sites to support qualitative social theory with respect to online communities.
Media Industry Business Models
Published in Joan Van Tassel, Lisa Poe-Howfield, Managing Electronic Media, 2012
Joan Van Tassel, Lisa Poe-Howfield
Think YouTube, Facebook, Twitter, Epinions, Blogger, Ning, del.icio.us, and Digg - all user-created content. Then there are the sites that rely heavily on it, like Yelp and every Internet e-tail site that solicits consumer and user ratings.
Uncovering information diffusion patterns in different networks using the L-metric
Published in Enterprise Information Systems, 2021
Lingfei Li, Qing Zhou, Wei Yang, Yuanchun Jiang
Notably, when information propagating in Digg is popular, the cascade effect can be strong. However, as information becomes more niche in this network, its spreading ability drops rapidly. This phenomenon can also be explained by the average factor number in Digg. Among the four networks, the average factor number in Digg is the largest; thus, Digg is similar to some comprehensive social media platforms, such as Twitter and Weibo. Users in these networks can discuss information in many fields, and users who are interested in a particular niche field cannot gather easily, which makes it more difficult for niche information to spread.
Vital node searcher: find out critical node measure with deep reinforcement learning
Published in Connection Science, 2022
Guanting Du, Fei Zhu, Quan Liu
Digg (Kunegis, 2013): The Digg dataset is a mapping network of comment relationships in the social networking site Digg. Each node represents a user of the Digg website and each edge represents the existence of a comment relationship between two users.