The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …

This chapter discusses how digital nationalism works in China. It makes the case that
nationalism in digital spheres develops unique dynamics, and that we should view those …

Online social media remarkably facilitates the production and delivery of information,
intensifying the competition among vast information for users' attention and highlighting the …

An ability to predict the popularity dynamics of individual items within a complex evolving
system has important implications in an array of areas. Here we propose a generative …

Effectively predicting the size of an information cascade is critical for many applications
spanning from identifying viral marketing and fake news to precise recommendation and …

Online social networking services allow their users to post content in the form of text, images
or videos. The main mechanism driving content diffusion is the possibility for users to re …

The emergence and popularization of online social networks suddenly made available a
large amount of data from social organization, interaction and human behavior. All this …

Internet slang words can very quickly become ubiquitous because of social memes and viral
online content. Weibo, a Twitter-like service in China, demonstrates that the adoption of …

Popularity prediction on microblogging platforms aims to predict the future popularity of a
message based on its retweeting dynamics in the early stages. Existing works mainly focus …

Influence maximization, defined as a problem of finding a set of seed nodes to trigger a
maximized spread of influence, is crucial to viral marketing on social networks. For practical …