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 …

The coronavirus disease 2019 (COVID-19) pandemic has placed epidemic modeling at the
forefront of worldwide public policy making. Nonetheless, modeling and forecasting the …

The recent serious cases of spreading false information have posed a significant threat to
the social stability and even national security, urgently requiring all circles to respond …

Hawkes processes are used in statistical modeling for event clustering and causal inference,
while they also can be viewed as stochastic versions of popular compartmental models used …

In 2022, the European Union introduced the Digital Services Act (DSA), a new legislation to
report and moderate harmful content from online social networks. Trusted flaggers are …

Understanding in-network information diffusion is a fundamental problem in many
applications and one of the primary challenges is to predict the information cascade size …

After slowing down the spread of the novel coronavirus COVID-19, many countries have
started to relax their confinement measures in the face of critical damage to socioeconomic …

The COVID-19 pandemic has posed great challenges to public health services, government
agencies, and policymakers, raising huge social conflicts between public health and …

Sequential recommendation and information dissemination are two traditional problems for
sequential information retrieval. The common goal of the two problems is to predict future …

Understanding in-network information diffusion is a fundamental problem in many
application domains and one of the primary challenges is to predict the size of the …